End of training
Browse files- README.md +37 -37
- all_results.json +8 -8
- eval_results.json +4 -4
- model.safetensors +1 -1
- runs/Dec01_18-53-01_DESKTOP-SKBE9FB/events.out.tfevents.1733100781.DESKTOP-SKBE9FB.5608.0 +3 -0
- runs/Dec01_19-03-33_DESKTOP-SKBE9FB/events.out.tfevents.1733101414.DESKTOP-SKBE9FB.15316.0 +3 -0
- runs/Dec01_19-04-24_DESKTOP-SKBE9FB/events.out.tfevents.1733101465.DESKTOP-SKBE9FB.6740.0 +3 -0
- runs/Dec01_19-06-55_DESKTOP-SKBE9FB/events.out.tfevents.1733101616.DESKTOP-SKBE9FB.17676.0 +3 -0
- runs/Dec01_19-07-36_DESKTOP-SKBE9FB/events.out.tfevents.1733101657.DESKTOP-SKBE9FB.17488.0 +3 -0
- runs/Dec01_19-08-27_DESKTOP-SKBE9FB/events.out.tfevents.1733101708.DESKTOP-SKBE9FB.16292.0 +3 -0
- runs/Dec01_19-09-07_DESKTOP-SKBE9FB/events.out.tfevents.1733101748.DESKTOP-SKBE9FB.6848.0 +3 -0
- runs/Dec01_19-24-29_DESKTOP-SKBE9FB/events.out.tfevents.1733102670.DESKTOP-SKBE9FB.17704.0 +3 -0
- runs/Dec02_09-42-53_DESKTOP-SKBE9FB/events.out.tfevents.1733154174.DESKTOP-SKBE9FB.8.0 +3 -0
- runs/Dec02_09-42-53_DESKTOP-SKBE9FB/events.out.tfevents.1733154311.DESKTOP-SKBE9FB.8.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +164 -164
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -31,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 31 |
|
| 32 |
This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
|
| 33 |
It achieves the following results on the evaluation set:
|
| 34 |
-
- Loss: 113.
|
| 35 |
- Accuracy: 0.1087
|
| 36 |
|
| 37 |
## Model description
|
|
@@ -51,7 +51,7 @@ More information needed
|
|
| 51 |
### Training hyperparameters
|
| 52 |
|
| 53 |
The following hyperparameters were used during training:
|
| 54 |
-
- learning_rate: 0.
|
| 55 |
- train_batch_size: 16
|
| 56 |
- eval_batch_size: 16
|
| 57 |
- seed: 42
|
|
@@ -66,41 +66,41 @@ The following hyperparameters were used during training:
|
|
| 66 |
|
| 67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 68 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 69 |
-
| No log | 0.86 | 3 | 113.
|
| 70 |
-
| No log | 2.0 | 7 | 113.
|
| 71 |
-
| 114.
|
| 72 |
-
| 114.
|
| 73 |
-
| 114.
|
| 74 |
-
| 113.
|
| 75 |
-
| 113.
|
| 76 |
-
| 113.
|
| 77 |
-
| 111.
|
| 78 |
-
| 111.
|
| 79 |
-
| 111.
|
| 80 |
-
|
|
| 81 |
-
|
|
| 82 |
-
|
|
| 83 |
-
|
|
| 84 |
-
|
|
| 85 |
-
|
|
| 86 |
-
|
|
| 87 |
-
|
|
| 88 |
-
|
|
| 89 |
-
|
|
| 90 |
-
|
|
| 91 |
-
|
|
| 92 |
-
|
|
| 93 |
-
|
|
| 94 |
-
|
|
| 95 |
-
|
|
| 96 |
-
|
|
| 97 |
-
|
|
| 98 |
-
|
|
| 99 |
-
|
|
| 100 |
-
|
|
| 101 |
-
|
|
| 102 |
-
|
|
| 103 |
-
|
|
| 104 |
|
| 105 |
|
| 106 |
### Framework versions
|
|
|
|
| 31 |
|
| 32 |
This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
|
| 33 |
It achieves the following results on the evaluation set:
|
| 34 |
+
- Loss: 113.8184
|
| 35 |
- Accuracy: 0.1087
|
| 36 |
|
| 37 |
## Model description
|
|
|
|
| 51 |
### Training hyperparameters
|
| 52 |
|
| 53 |
The following hyperparameters were used during training:
|
| 54 |
+
- learning_rate: 0.0003
|
| 55 |
- train_batch_size: 16
|
| 56 |
- eval_batch_size: 16
|
| 57 |
- seed: 42
|
|
|
|
| 66 |
|
| 67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 68 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 69 |
+
| No log | 0.86 | 3 | 113.8184 | 0.1087 |
|
| 70 |
+
| No log | 2.0 | 7 | 113.8094 | 0.1087 |
|
| 71 |
+
| 114.0867 | 2.86 | 10 | 113.7944 | 0.1087 |
|
| 72 |
+
| 114.0867 | 4.0 | 14 | 113.7881 | 0.1087 |
|
| 73 |
+
| 114.0867 | 4.86 | 17 | 113.7100 | 0.1087 |
|
| 74 |
+
| 113.3425 | 6.0 | 21 | 113.5884 | 0.1087 |
|
| 75 |
+
| 113.3425 | 6.86 | 24 | 113.4998 | 0.1087 |
|
| 76 |
+
| 113.3425 | 8.0 | 28 | 113.0578 | 0.1087 |
|
| 77 |
+
| 111.228 | 8.86 | 31 | 112.8053 | 0.1087 |
|
| 78 |
+
| 111.228 | 10.0 | 35 | 112.5202 | 0.1087 |
|
| 79 |
+
| 111.228 | 10.86 | 38 | 112.5811 | 0.1087 |
|
| 80 |
+
| 114.9647 | 12.0 | 42 | 112.6090 | 0.1087 |
|
| 81 |
+
| 114.9647 | 12.86 | 45 | 112.4973 | 0.1087 |
|
| 82 |
+
| 114.9647 | 14.0 | 49 | 111.9761 | 0.1087 |
|
| 83 |
+
| 110.7738 | 14.86 | 52 | 111.8117 | 0.1087 |
|
| 84 |
+
| 110.7738 | 16.0 | 56 | 111.6589 | 0.1087 |
|
| 85 |
+
| 110.7738 | 16.86 | 59 | 111.5367 | 0.1087 |
|
| 86 |
+
| 111.0505 | 18.0 | 63 | 111.7016 | 0.1087 |
|
| 87 |
+
| 111.0505 | 18.86 | 66 | 111.9068 | 0.1087 |
|
| 88 |
+
| 111.4545 | 20.0 | 70 | 111.6203 | 0.1087 |
|
| 89 |
+
| 111.4545 | 20.86 | 73 | 111.1266 | 0.1087 |
|
| 90 |
+
| 111.4545 | 22.0 | 77 | 110.2879 | 0.1087 |
|
| 91 |
+
| 111.2779 | 22.86 | 80 | 109.8523 | 0.1087 |
|
| 92 |
+
| 111.2779 | 24.0 | 84 | 109.5283 | 0.1087 |
|
| 93 |
+
| 111.2779 | 24.86 | 87 | 109.9590 | 0.1087 |
|
| 94 |
+
| 110.5166 | 26.0 | 91 | 109.9752 | 0.1087 |
|
| 95 |
+
| 110.5166 | 26.86 | 94 | 109.5435 | 0.1087 |
|
| 96 |
+
| 110.5166 | 28.0 | 98 | 109.5712 | 0.1087 |
|
| 97 |
+
| 108.66 | 28.86 | 101 | 108.8924 | 0.1087 |
|
| 98 |
+
| 108.66 | 30.0 | 105 | 108.3990 | 0.1087 |
|
| 99 |
+
| 108.66 | 30.86 | 108 | 108.7050 | 0.1087 |
|
| 100 |
+
| 109.688 | 32.0 | 112 | 108.7237 | 0.1087 |
|
| 101 |
+
| 109.688 | 32.86 | 115 | 109.0679 | 0.1087 |
|
| 102 |
+
| 109.688 | 34.0 | 119 | 108.5750 | 0.1087 |
|
| 103 |
+
| 109.4549 | 34.29 | 120 | 108.5167 | 0.1087 |
|
| 104 |
|
| 105 |
|
| 106 |
### Framework versions
|
all_results.json
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
"eval_accuracy": 0.10869565217391304,
|
| 4 |
-
"eval_loss": 113.
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
-
"train_loss":
|
| 9 |
-
"train_runtime":
|
| 10 |
-
"train_samples_per_second":
|
| 11 |
-
"train_steps_per_second": 0.
|
| 12 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
"eval_accuracy": 0.10869565217391304,
|
| 4 |
+
"eval_loss": 113.81844329833984,
|
| 5 |
+
"eval_runtime": 0.6186,
|
| 6 |
+
"eval_samples_per_second": 74.356,
|
| 7 |
+
"eval_steps_per_second": 4.849,
|
| 8 |
+
"train_loss": 111.37485249837239,
|
| 9 |
+
"train_runtime": 136.0598,
|
| 10 |
+
"train_samples_per_second": 62.62,
|
| 11 |
+
"train_steps_per_second": 0.882
|
| 12 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
"eval_accuracy": 0.10869565217391304,
|
| 4 |
-
"eval_loss": 113.
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
"eval_accuracy": 0.10869565217391304,
|
| 4 |
+
"eval_loss": 113.81844329833984,
|
| 5 |
+
"eval_runtime": 0.6186,
|
| 6 |
+
"eval_samples_per_second": 74.356,
|
| 7 |
+
"eval_steps_per_second": 4.849
|
| 8 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 12203648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fe65117317844ece5f5dc4f0f5845b05e9ebd35dc9b078531fa983038481075a
|
| 3 |
size 12203648
|
runs/Dec01_18-53-01_DESKTOP-SKBE9FB/events.out.tfevents.1733100781.DESKTOP-SKBE9FB.5608.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:579e5f86745392fc98f33e6da7a920ff2373ffddae2b3031cefed926b508f461
|
| 3 |
+
size 6753
|
runs/Dec01_19-03-33_DESKTOP-SKBE9FB/events.out.tfevents.1733101414.DESKTOP-SKBE9FB.15316.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9bc02d95e3d89fc5e3997fc351b6e73f5ac1c48c4ecae62be84a3d7e4090ba0
|
| 3 |
+
size 6753
|
runs/Dec01_19-04-24_DESKTOP-SKBE9FB/events.out.tfevents.1733101465.DESKTOP-SKBE9FB.6740.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:abfd549e84f44578bf9eccd3eb28dd9db8a88e14cd190f2f1a81800d3bacc614
|
| 3 |
+
size 12278
|
runs/Dec01_19-06-55_DESKTOP-SKBE9FB/events.out.tfevents.1733101616.DESKTOP-SKBE9FB.17676.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fbad66f738556f0c86098df41e871716d80060c8bccb8a100e04386fa79a32e7
|
| 3 |
+
size 5965
|
runs/Dec01_19-07-36_DESKTOP-SKBE9FB/events.out.tfevents.1733101657.DESKTOP-SKBE9FB.17488.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a4c539c6ba07375d125173c63a1a6843008b202480fbecd8ae7178aa7d0e291
|
| 3 |
+
size 5177
|
runs/Dec01_19-08-27_DESKTOP-SKBE9FB/events.out.tfevents.1733101708.DESKTOP-SKBE9FB.16292.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a74dd82e0d79afb23ea07955e234f4e45e4338dc46b07bb4125d460884c8fda
|
| 3 |
+
size 5648
|
runs/Dec01_19-09-07_DESKTOP-SKBE9FB/events.out.tfevents.1733101748.DESKTOP-SKBE9FB.6848.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee5526aaff3da791e890f705193b218704e2bbfec61f3c8fd0dc794d8389dfad
|
| 3 |
+
size 5177
|
runs/Dec01_19-24-29_DESKTOP-SKBE9FB/events.out.tfevents.1733102670.DESKTOP-SKBE9FB.17704.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9bbe38e6e4a96764749ce47c2e562e70a8683f16e3a1520fce1e8ad7b8fc8b89
|
| 3 |
+
size 7386
|
runs/Dec02_09-42-53_DESKTOP-SKBE9FB/events.out.tfevents.1733154174.DESKTOP-SKBE9FB.8.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d8b4e07e4679003de18acaf6d4f22d63201aff0e0db6e6fc66fdf6b41b48f0e
|
| 3 |
+
size 17834
|
runs/Dec02_09-42-53_DESKTOP-SKBE9FB/events.out.tfevents.1733154311.DESKTOP-SKBE9FB.8.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1964859b0a63be59e613359fd4a83d460f4b768734ae5a9f8ce7f967b197d9b4
|
| 3 |
+
size 405
|
train_results.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
-
"train_loss":
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples_per_second":
|
| 6 |
-
"train_steps_per_second": 0.
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
+
"train_loss": 111.37485249837239,
|
| 4 |
+
"train_runtime": 136.0598,
|
| 5 |
+
"train_samples_per_second": 62.62,
|
| 6 |
+
"train_steps_per_second": 0.882
|
| 7 |
}
|
trainer_state.json
CHANGED
|
@@ -11,295 +11,295 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 0.86,
|
| 13 |
"eval_accuracy": 0.10869565217391304,
|
| 14 |
-
"eval_loss": 113.
|
| 15 |
-
"eval_runtime": 0.
|
| 16 |
-
"eval_samples_per_second":
|
| 17 |
-
"eval_steps_per_second":
|
| 18 |
"step": 3
|
| 19 |
},
|
| 20 |
{
|
| 21 |
"epoch": 2.0,
|
| 22 |
"eval_accuracy": 0.10869565217391304,
|
| 23 |
-
"eval_loss": 113.
|
| 24 |
-
"eval_runtime": 0.
|
| 25 |
-
"eval_samples_per_second":
|
| 26 |
-
"eval_steps_per_second":
|
| 27 |
"step": 7
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 2.86,
|
| 31 |
-
"learning_rate": 0.
|
| 32 |
-
"loss": 114.
|
| 33 |
"step": 10
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"epoch": 2.86,
|
| 37 |
"eval_accuracy": 0.10869565217391304,
|
| 38 |
-
"eval_loss": 113.
|
| 39 |
-
"eval_runtime": 0.
|
| 40 |
-
"eval_samples_per_second":
|
| 41 |
-
"eval_steps_per_second":
|
| 42 |
"step": 10
|
| 43 |
},
|
| 44 |
{
|
| 45 |
"epoch": 4.0,
|
| 46 |
"eval_accuracy": 0.10869565217391304,
|
| 47 |
-
"eval_loss": 113.
|
| 48 |
-
"eval_runtime": 0.
|
| 49 |
-
"eval_samples_per_second":
|
| 50 |
-
"eval_steps_per_second":
|
| 51 |
"step": 14
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 4.86,
|
| 55 |
"eval_accuracy": 0.10869565217391304,
|
| 56 |
-
"eval_loss": 113.
|
| 57 |
-
"eval_runtime": 0.
|
| 58 |
-
"eval_samples_per_second":
|
| 59 |
-
"eval_steps_per_second":
|
| 60 |
"step": 17
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"epoch": 5.71,
|
| 64 |
-
"learning_rate": 0.
|
| 65 |
-
"loss": 113.
|
| 66 |
"step": 20
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 6.0,
|
| 70 |
"eval_accuracy": 0.10869565217391304,
|
| 71 |
-
"eval_loss": 113.
|
| 72 |
-
"eval_runtime": 0.
|
| 73 |
-
"eval_samples_per_second":
|
| 74 |
-
"eval_steps_per_second":
|
| 75 |
"step": 21
|
| 76 |
},
|
| 77 |
{
|
| 78 |
"epoch": 6.86,
|
| 79 |
"eval_accuracy": 0.10869565217391304,
|
| 80 |
-
"eval_loss": 113.
|
| 81 |
-
"eval_runtime": 0.
|
| 82 |
-
"eval_samples_per_second":
|
| 83 |
-
"eval_steps_per_second": 5.
|
| 84 |
"step": 24
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 8.0,
|
| 88 |
"eval_accuracy": 0.10869565217391304,
|
| 89 |
-
"eval_loss": 113.
|
| 90 |
-
"eval_runtime":
|
| 91 |
-
"eval_samples_per_second":
|
| 92 |
-
"eval_steps_per_second":
|
| 93 |
"step": 28
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 8.57,
|
| 97 |
-
"learning_rate": 0.
|
| 98 |
-
"loss": 111.
|
| 99 |
"step": 30
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 8.86,
|
| 103 |
"eval_accuracy": 0.10869565217391304,
|
| 104 |
-
"eval_loss":
|
| 105 |
-
"eval_runtime": 0.
|
| 106 |
-
"eval_samples_per_second":
|
| 107 |
-
"eval_steps_per_second":
|
| 108 |
"step": 31
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 10.0,
|
| 112 |
"eval_accuracy": 0.10869565217391304,
|
| 113 |
-
"eval_loss":
|
| 114 |
-
"eval_runtime": 0.
|
| 115 |
-
"eval_samples_per_second":
|
| 116 |
-
"eval_steps_per_second": 4.
|
| 117 |
"step": 35
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 10.86,
|
| 121 |
"eval_accuracy": 0.10869565217391304,
|
| 122 |
-
"eval_loss":
|
| 123 |
-
"eval_runtime": 0.
|
| 124 |
-
"eval_samples_per_second":
|
| 125 |
-
"eval_steps_per_second": 5.
|
| 126 |
"step": 38
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 11.43,
|
| 130 |
-
"learning_rate": 0.
|
| 131 |
-
"loss":
|
| 132 |
"step": 40
|
| 133 |
},
|
| 134 |
{
|
| 135 |
"epoch": 12.0,
|
| 136 |
"eval_accuracy": 0.10869565217391304,
|
| 137 |
-
"eval_loss":
|
| 138 |
-
"eval_runtime": 0.
|
| 139 |
-
"eval_samples_per_second":
|
| 140 |
-
"eval_steps_per_second":
|
| 141 |
"step": 42
|
| 142 |
},
|
| 143 |
{
|
| 144 |
"epoch": 12.86,
|
| 145 |
"eval_accuracy": 0.10869565217391304,
|
| 146 |
-
"eval_loss":
|
| 147 |
-
"eval_runtime": 0.
|
| 148 |
-
"eval_samples_per_second":
|
| 149 |
-
"eval_steps_per_second":
|
| 150 |
"step": 45
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 14.0,
|
| 154 |
"eval_accuracy": 0.10869565217391304,
|
| 155 |
-
"eval_loss":
|
| 156 |
-
"eval_runtime": 0.
|
| 157 |
-
"eval_samples_per_second":
|
| 158 |
-
"eval_steps_per_second": 5.
|
| 159 |
"step": 49
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 14.29,
|
| 163 |
-
"learning_rate":
|
| 164 |
-
"loss":
|
| 165 |
"step": 50
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 14.86,
|
| 169 |
"eval_accuracy": 0.10869565217391304,
|
| 170 |
-
"eval_loss":
|
| 171 |
-
"eval_runtime": 0.
|
| 172 |
-
"eval_samples_per_second":
|
| 173 |
-
"eval_steps_per_second": 5.
|
| 174 |
"step": 52
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 16.0,
|
| 178 |
"eval_accuracy": 0.10869565217391304,
|
| 179 |
-
"eval_loss":
|
| 180 |
-
"eval_runtime": 0.
|
| 181 |
-
"eval_samples_per_second":
|
| 182 |
-
"eval_steps_per_second":
|
| 183 |
"step": 56
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"epoch": 16.86,
|
| 187 |
"eval_accuracy": 0.10869565217391304,
|
| 188 |
-
"eval_loss":
|
| 189 |
-
"eval_runtime": 0.
|
| 190 |
-
"eval_samples_per_second":
|
| 191 |
-
"eval_steps_per_second": 5.
|
| 192 |
"step": 59
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 17.14,
|
| 196 |
-
"learning_rate":
|
| 197 |
-
"loss":
|
| 198 |
"step": 60
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 18.0,
|
| 202 |
"eval_accuracy": 0.10869565217391304,
|
| 203 |
-
"eval_loss":
|
| 204 |
-
"eval_runtime": 0.
|
| 205 |
-
"eval_samples_per_second":
|
| 206 |
-
"eval_steps_per_second":
|
| 207 |
"step": 63
|
| 208 |
},
|
| 209 |
{
|
| 210 |
"epoch": 18.86,
|
| 211 |
"eval_accuracy": 0.10869565217391304,
|
| 212 |
-
"eval_loss":
|
| 213 |
-
"eval_runtime": 0.
|
| 214 |
-
"eval_samples_per_second":
|
| 215 |
-
"eval_steps_per_second":
|
| 216 |
"step": 66
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 20.0,
|
| 220 |
-
"learning_rate":
|
| 221 |
-
"loss":
|
| 222 |
"step": 70
|
| 223 |
},
|
| 224 |
{
|
| 225 |
"epoch": 20.0,
|
| 226 |
"eval_accuracy": 0.10869565217391304,
|
| 227 |
-
"eval_loss":
|
| 228 |
-
"eval_runtime": 0.
|
| 229 |
-
"eval_samples_per_second":
|
| 230 |
-
"eval_steps_per_second": 4.
|
| 231 |
"step": 70
|
| 232 |
},
|
| 233 |
{
|
| 234 |
"epoch": 20.86,
|
| 235 |
"eval_accuracy": 0.10869565217391304,
|
| 236 |
-
"eval_loss":
|
| 237 |
-
"eval_runtime": 0.
|
| 238 |
-
"eval_samples_per_second":
|
| 239 |
-
"eval_steps_per_second": 4.
|
| 240 |
"step": 73
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 22.0,
|
| 244 |
"eval_accuracy": 0.10869565217391304,
|
| 245 |
-
"eval_loss":
|
| 246 |
-
"eval_runtime": 0.
|
| 247 |
-
"eval_samples_per_second":
|
| 248 |
-
"eval_steps_per_second":
|
| 249 |
"step": 77
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 22.86,
|
| 253 |
-
"learning_rate":
|
| 254 |
-
"loss":
|
| 255 |
"step": 80
|
| 256 |
},
|
| 257 |
{
|
| 258 |
"epoch": 22.86,
|
| 259 |
"eval_accuracy": 0.10869565217391304,
|
| 260 |
-
"eval_loss":
|
| 261 |
-
"eval_runtime": 0.
|
| 262 |
-
"eval_samples_per_second":
|
| 263 |
-
"eval_steps_per_second":
|
| 264 |
"step": 80
|
| 265 |
},
|
| 266 |
{
|
| 267 |
"epoch": 24.0,
|
| 268 |
"eval_accuracy": 0.10869565217391304,
|
| 269 |
-
"eval_loss":
|
| 270 |
-
"eval_runtime": 0.
|
| 271 |
-
"eval_samples_per_second":
|
| 272 |
-
"eval_steps_per_second":
|
| 273 |
"step": 84
|
| 274 |
},
|
| 275 |
{
|
| 276 |
"epoch": 24.86,
|
| 277 |
"eval_accuracy": 0.10869565217391304,
|
| 278 |
-
"eval_loss":
|
| 279 |
-
"eval_runtime": 0.
|
| 280 |
-
"eval_samples_per_second": 78.
|
| 281 |
-
"eval_steps_per_second": 5.
|
| 282 |
"step": 87
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 25.71,
|
| 286 |
-
"learning_rate":
|
| 287 |
-
"loss":
|
| 288 |
"step": 90
|
| 289 |
},
|
| 290 |
{
|
| 291 |
"epoch": 26.0,
|
| 292 |
"eval_accuracy": 0.10869565217391304,
|
| 293 |
-
"eval_loss":
|
| 294 |
-
"eval_runtime": 0.
|
| 295 |
-
"eval_samples_per_second":
|
| 296 |
-
"eval_steps_per_second": 4.
|
| 297 |
"step": 91
|
| 298 |
},
|
| 299 |
{
|
| 300 |
"epoch": 26.86,
|
| 301 |
"eval_accuracy": 0.10869565217391304,
|
| 302 |
-
"eval_loss":
|
| 303 |
"eval_runtime": 0.6151,
|
| 304 |
"eval_samples_per_second": 74.78,
|
| 305 |
"eval_steps_per_second": 4.877,
|
|
@@ -308,101 +308,101 @@
|
|
| 308 |
{
|
| 309 |
"epoch": 28.0,
|
| 310 |
"eval_accuracy": 0.10869565217391304,
|
| 311 |
-
"eval_loss":
|
| 312 |
-
"eval_runtime": 0.
|
| 313 |
-
"eval_samples_per_second":
|
| 314 |
-
"eval_steps_per_second":
|
| 315 |
"step": 98
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"epoch": 28.57,
|
| 319 |
-
"learning_rate":
|
| 320 |
-
"loss":
|
| 321 |
"step": 100
|
| 322 |
},
|
| 323 |
{
|
| 324 |
"epoch": 28.86,
|
| 325 |
"eval_accuracy": 0.10869565217391304,
|
| 326 |
-
"eval_loss":
|
| 327 |
-
"eval_runtime": 0.
|
| 328 |
-
"eval_samples_per_second":
|
| 329 |
-
"eval_steps_per_second":
|
| 330 |
"step": 101
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 30.0,
|
| 334 |
"eval_accuracy": 0.10869565217391304,
|
| 335 |
-
"eval_loss":
|
| 336 |
-
"eval_runtime": 0.
|
| 337 |
-
"eval_samples_per_second":
|
| 338 |
-
"eval_steps_per_second": 4.
|
| 339 |
"step": 105
|
| 340 |
},
|
| 341 |
{
|
| 342 |
"epoch": 30.86,
|
| 343 |
"eval_accuracy": 0.10869565217391304,
|
| 344 |
-
"eval_loss":
|
| 345 |
-
"eval_runtime": 0.
|
| 346 |
-
"eval_samples_per_second":
|
| 347 |
-
"eval_steps_per_second":
|
| 348 |
"step": 108
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"epoch": 31.43,
|
| 352 |
-
"learning_rate":
|
| 353 |
-
"loss":
|
| 354 |
"step": 110
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"epoch": 32.0,
|
| 358 |
"eval_accuracy": 0.10869565217391304,
|
| 359 |
-
"eval_loss":
|
| 360 |
-
"eval_runtime": 0.
|
| 361 |
-
"eval_samples_per_second": 75.
|
| 362 |
-
"eval_steps_per_second": 4.
|
| 363 |
"step": 112
|
| 364 |
},
|
| 365 |
{
|
| 366 |
"epoch": 32.86,
|
| 367 |
"eval_accuracy": 0.10869565217391304,
|
| 368 |
-
"eval_loss":
|
| 369 |
-
"eval_runtime": 0.
|
| 370 |
-
"eval_samples_per_second":
|
| 371 |
-
"eval_steps_per_second": 4.
|
| 372 |
"step": 115
|
| 373 |
},
|
| 374 |
{
|
| 375 |
"epoch": 34.0,
|
| 376 |
"eval_accuracy": 0.10869565217391304,
|
| 377 |
-
"eval_loss":
|
| 378 |
-
"eval_runtime": 0.
|
| 379 |
-
"eval_samples_per_second":
|
| 380 |
-
"eval_steps_per_second":
|
| 381 |
"step": 119
|
| 382 |
},
|
| 383 |
{
|
| 384 |
"epoch": 34.29,
|
| 385 |
"learning_rate": 0.0,
|
| 386 |
-
"loss":
|
| 387 |
"step": 120
|
| 388 |
},
|
| 389 |
{
|
| 390 |
"epoch": 34.29,
|
| 391 |
"eval_accuracy": 0.10869565217391304,
|
| 392 |
-
"eval_loss":
|
| 393 |
-
"eval_runtime": 0.
|
| 394 |
-
"eval_samples_per_second":
|
| 395 |
-
"eval_steps_per_second":
|
| 396 |
"step": 120
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 34.29,
|
| 400 |
"step": 120,
|
| 401 |
"total_flos": 2.0027429927092224e+16,
|
| 402 |
-
"train_loss":
|
| 403 |
-
"train_runtime":
|
| 404 |
-
"train_samples_per_second":
|
| 405 |
-
"train_steps_per_second": 0.
|
| 406 |
}
|
| 407 |
],
|
| 408 |
"logging_steps": 10,
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 0.86,
|
| 13 |
"eval_accuracy": 0.10869565217391304,
|
| 14 |
+
"eval_loss": 113.81844329833984,
|
| 15 |
+
"eval_runtime": 0.9277,
|
| 16 |
+
"eval_samples_per_second": 49.584,
|
| 17 |
+
"eval_steps_per_second": 3.234,
|
| 18 |
"step": 3
|
| 19 |
},
|
| 20 |
{
|
| 21 |
"epoch": 2.0,
|
| 22 |
"eval_accuracy": 0.10869565217391304,
|
| 23 |
+
"eval_loss": 113.80943298339844,
|
| 24 |
+
"eval_runtime": 0.5649,
|
| 25 |
+
"eval_samples_per_second": 81.43,
|
| 26 |
+
"eval_steps_per_second": 5.311,
|
| 27 |
"step": 7
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 2.86,
|
| 31 |
+
"learning_rate": 0.00025,
|
| 32 |
+
"loss": 114.0867,
|
| 33 |
"step": 10
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"epoch": 2.86,
|
| 37 |
"eval_accuracy": 0.10869565217391304,
|
| 38 |
+
"eval_loss": 113.79438018798828,
|
| 39 |
+
"eval_runtime": 0.6062,
|
| 40 |
+
"eval_samples_per_second": 75.888,
|
| 41 |
+
"eval_steps_per_second": 4.949,
|
| 42 |
"step": 10
|
| 43 |
},
|
| 44 |
{
|
| 45 |
"epoch": 4.0,
|
| 46 |
"eval_accuracy": 0.10869565217391304,
|
| 47 |
+
"eval_loss": 113.78809356689453,
|
| 48 |
+
"eval_runtime": 0.6076,
|
| 49 |
+
"eval_samples_per_second": 75.702,
|
| 50 |
+
"eval_steps_per_second": 4.937,
|
| 51 |
"step": 14
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 4.86,
|
| 55 |
"eval_accuracy": 0.10869565217391304,
|
| 56 |
+
"eval_loss": 113.70995330810547,
|
| 57 |
+
"eval_runtime": 0.6162,
|
| 58 |
+
"eval_samples_per_second": 74.657,
|
| 59 |
+
"eval_steps_per_second": 4.869,
|
| 60 |
"step": 17
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"epoch": 5.71,
|
| 64 |
+
"learning_rate": 0.0002777777777777778,
|
| 65 |
+
"loss": 113.3425,
|
| 66 |
"step": 20
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 6.0,
|
| 70 |
"eval_accuracy": 0.10869565217391304,
|
| 71 |
+
"eval_loss": 113.58837890625,
|
| 72 |
+
"eval_runtime": 0.6537,
|
| 73 |
+
"eval_samples_per_second": 70.373,
|
| 74 |
+
"eval_steps_per_second": 4.59,
|
| 75 |
"step": 21
|
| 76 |
},
|
| 77 |
{
|
| 78 |
"epoch": 6.86,
|
| 79 |
"eval_accuracy": 0.10869565217391304,
|
| 80 |
+
"eval_loss": 113.49983978271484,
|
| 81 |
+
"eval_runtime": 0.5761,
|
| 82 |
+
"eval_samples_per_second": 79.843,
|
| 83 |
+
"eval_steps_per_second": 5.207,
|
| 84 |
"step": 24
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 8.0,
|
| 88 |
"eval_accuracy": 0.10869565217391304,
|
| 89 |
+
"eval_loss": 113.05781555175781,
|
| 90 |
+
"eval_runtime": 2.1702,
|
| 91 |
+
"eval_samples_per_second": 21.196,
|
| 92 |
+
"eval_steps_per_second": 1.382,
|
| 93 |
"step": 28
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 8.57,
|
| 97 |
+
"learning_rate": 0.00025,
|
| 98 |
+
"loss": 111.228,
|
| 99 |
"step": 30
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 8.86,
|
| 103 |
"eval_accuracy": 0.10869565217391304,
|
| 104 |
+
"eval_loss": 112.80531311035156,
|
| 105 |
+
"eval_runtime": 0.5921,
|
| 106 |
+
"eval_samples_per_second": 77.685,
|
| 107 |
+
"eval_steps_per_second": 5.066,
|
| 108 |
"step": 31
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 10.0,
|
| 112 |
"eval_accuracy": 0.10869565217391304,
|
| 113 |
+
"eval_loss": 112.52015686035156,
|
| 114 |
+
"eval_runtime": 0.6021,
|
| 115 |
+
"eval_samples_per_second": 76.395,
|
| 116 |
+
"eval_steps_per_second": 4.982,
|
| 117 |
"step": 35
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 10.86,
|
| 121 |
"eval_accuracy": 0.10869565217391304,
|
| 122 |
+
"eval_loss": 112.58113861083984,
|
| 123 |
+
"eval_runtime": 0.5977,
|
| 124 |
+
"eval_samples_per_second": 76.964,
|
| 125 |
+
"eval_steps_per_second": 5.019,
|
| 126 |
"step": 38
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 11.43,
|
| 130 |
+
"learning_rate": 0.00022222222222222218,
|
| 131 |
+
"loss": 114.9647,
|
| 132 |
"step": 40
|
| 133 |
},
|
| 134 |
{
|
| 135 |
"epoch": 12.0,
|
| 136 |
"eval_accuracy": 0.10869565217391304,
|
| 137 |
+
"eval_loss": 112.60899353027344,
|
| 138 |
+
"eval_runtime": 0.5971,
|
| 139 |
+
"eval_samples_per_second": 77.035,
|
| 140 |
+
"eval_steps_per_second": 5.024,
|
| 141 |
"step": 42
|
| 142 |
},
|
| 143 |
{
|
| 144 |
"epoch": 12.86,
|
| 145 |
"eval_accuracy": 0.10869565217391304,
|
| 146 |
+
"eval_loss": 112.49734497070312,
|
| 147 |
+
"eval_runtime": 0.5906,
|
| 148 |
+
"eval_samples_per_second": 77.882,
|
| 149 |
+
"eval_steps_per_second": 5.079,
|
| 150 |
"step": 45
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 14.0,
|
| 154 |
"eval_accuracy": 0.10869565217391304,
|
| 155 |
+
"eval_loss": 111.97610473632812,
|
| 156 |
+
"eval_runtime": 0.5781,
|
| 157 |
+
"eval_samples_per_second": 79.567,
|
| 158 |
+
"eval_steps_per_second": 5.189,
|
| 159 |
"step": 49
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 14.29,
|
| 163 |
+
"learning_rate": 0.00019444444444444443,
|
| 164 |
+
"loss": 110.7738,
|
| 165 |
"step": 50
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 14.86,
|
| 169 |
"eval_accuracy": 0.10869565217391304,
|
| 170 |
+
"eval_loss": 111.81171417236328,
|
| 171 |
+
"eval_runtime": 0.5761,
|
| 172 |
+
"eval_samples_per_second": 79.841,
|
| 173 |
+
"eval_steps_per_second": 5.207,
|
| 174 |
"step": 52
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 16.0,
|
| 178 |
"eval_accuracy": 0.10869565217391304,
|
| 179 |
+
"eval_loss": 111.65890502929688,
|
| 180 |
+
"eval_runtime": 0.5781,
|
| 181 |
+
"eval_samples_per_second": 79.567,
|
| 182 |
+
"eval_steps_per_second": 5.189,
|
| 183 |
"step": 56
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"epoch": 16.86,
|
| 187 |
"eval_accuracy": 0.10869565217391304,
|
| 188 |
+
"eval_loss": 111.53672790527344,
|
| 189 |
+
"eval_runtime": 0.5771,
|
| 190 |
+
"eval_samples_per_second": 79.703,
|
| 191 |
+
"eval_steps_per_second": 5.198,
|
| 192 |
"step": 59
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 17.14,
|
| 196 |
+
"learning_rate": 0.00016666666666666666,
|
| 197 |
+
"loss": 111.0505,
|
| 198 |
"step": 60
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 18.0,
|
| 202 |
"eval_accuracy": 0.10869565217391304,
|
| 203 |
+
"eval_loss": 111.7016372680664,
|
| 204 |
+
"eval_runtime": 0.6091,
|
| 205 |
+
"eval_samples_per_second": 75.517,
|
| 206 |
+
"eval_steps_per_second": 4.925,
|
| 207 |
"step": 63
|
| 208 |
},
|
| 209 |
{
|
| 210 |
"epoch": 18.86,
|
| 211 |
"eval_accuracy": 0.10869565217391304,
|
| 212 |
+
"eval_loss": 111.90676879882812,
|
| 213 |
+
"eval_runtime": 0.6357,
|
| 214 |
+
"eval_samples_per_second": 72.366,
|
| 215 |
+
"eval_steps_per_second": 4.72,
|
| 216 |
"step": 66
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 20.0,
|
| 220 |
+
"learning_rate": 0.0001388888888888889,
|
| 221 |
+
"loss": 111.4545,
|
| 222 |
"step": 70
|
| 223 |
},
|
| 224 |
{
|
| 225 |
"epoch": 20.0,
|
| 226 |
"eval_accuracy": 0.10869565217391304,
|
| 227 |
+
"eval_loss": 111.62030792236328,
|
| 228 |
+
"eval_runtime": 0.6126,
|
| 229 |
+
"eval_samples_per_second": 75.084,
|
| 230 |
+
"eval_steps_per_second": 4.897,
|
| 231 |
"step": 70
|
| 232 |
},
|
| 233 |
{
|
| 234 |
"epoch": 20.86,
|
| 235 |
"eval_accuracy": 0.10869565217391304,
|
| 236 |
+
"eval_loss": 111.12662506103516,
|
| 237 |
+
"eval_runtime": 0.6051,
|
| 238 |
+
"eval_samples_per_second": 76.016,
|
| 239 |
+
"eval_steps_per_second": 4.958,
|
| 240 |
"step": 73
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 22.0,
|
| 244 |
"eval_accuracy": 0.10869565217391304,
|
| 245 |
+
"eval_loss": 110.28787231445312,
|
| 246 |
+
"eval_runtime": 0.6352,
|
| 247 |
+
"eval_samples_per_second": 72.422,
|
| 248 |
+
"eval_steps_per_second": 4.723,
|
| 249 |
"step": 77
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 22.86,
|
| 253 |
+
"learning_rate": 0.00011111111111111109,
|
| 254 |
+
"loss": 111.2779,
|
| 255 |
"step": 80
|
| 256 |
},
|
| 257 |
{
|
| 258 |
"epoch": 22.86,
|
| 259 |
"eval_accuracy": 0.10869565217391304,
|
| 260 |
+
"eval_loss": 109.85228729248047,
|
| 261 |
+
"eval_runtime": 0.5951,
|
| 262 |
+
"eval_samples_per_second": 77.292,
|
| 263 |
+
"eval_steps_per_second": 5.041,
|
| 264 |
"step": 80
|
| 265 |
},
|
| 266 |
{
|
| 267 |
"epoch": 24.0,
|
| 268 |
"eval_accuracy": 0.10869565217391304,
|
| 269 |
+
"eval_loss": 109.52828979492188,
|
| 270 |
+
"eval_runtime": 0.5951,
|
| 271 |
+
"eval_samples_per_second": 77.292,
|
| 272 |
+
"eval_steps_per_second": 5.041,
|
| 273 |
"step": 84
|
| 274 |
},
|
| 275 |
{
|
| 276 |
"epoch": 24.86,
|
| 277 |
"eval_accuracy": 0.10869565217391304,
|
| 278 |
+
"eval_loss": 109.9590072631836,
|
| 279 |
+
"eval_runtime": 0.5836,
|
| 280 |
+
"eval_samples_per_second": 78.816,
|
| 281 |
+
"eval_steps_per_second": 5.14,
|
| 282 |
"step": 87
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 25.71,
|
| 286 |
+
"learning_rate": 8.333333333333333e-05,
|
| 287 |
+
"loss": 110.5166,
|
| 288 |
"step": 90
|
| 289 |
},
|
| 290 |
{
|
| 291 |
"epoch": 26.0,
|
| 292 |
"eval_accuracy": 0.10869565217391304,
|
| 293 |
+
"eval_loss": 109.97518157958984,
|
| 294 |
+
"eval_runtime": 0.6056,
|
| 295 |
+
"eval_samples_per_second": 75.952,
|
| 296 |
+
"eval_steps_per_second": 4.953,
|
| 297 |
"step": 91
|
| 298 |
},
|
| 299 |
{
|
| 300 |
"epoch": 26.86,
|
| 301 |
"eval_accuracy": 0.10869565217391304,
|
| 302 |
+
"eval_loss": 109.54348754882812,
|
| 303 |
"eval_runtime": 0.6151,
|
| 304 |
"eval_samples_per_second": 74.78,
|
| 305 |
"eval_steps_per_second": 4.877,
|
|
|
|
| 308 |
{
|
| 309 |
"epoch": 28.0,
|
| 310 |
"eval_accuracy": 0.10869565217391304,
|
| 311 |
+
"eval_loss": 109.57117462158203,
|
| 312 |
+
"eval_runtime": 0.6156,
|
| 313 |
+
"eval_samples_per_second": 74.718,
|
| 314 |
+
"eval_steps_per_second": 4.873,
|
| 315 |
"step": 98
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"epoch": 28.57,
|
| 319 |
+
"learning_rate": 5.5555555555555545e-05,
|
| 320 |
+
"loss": 108.66,
|
| 321 |
"step": 100
|
| 322 |
},
|
| 323 |
{
|
| 324 |
"epoch": 28.86,
|
| 325 |
"eval_accuracy": 0.10869565217391304,
|
| 326 |
+
"eval_loss": 108.89238739013672,
|
| 327 |
+
"eval_runtime": 0.6327,
|
| 328 |
+
"eval_samples_per_second": 72.71,
|
| 329 |
+
"eval_steps_per_second": 4.742,
|
| 330 |
"step": 101
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 30.0,
|
| 334 |
"eval_accuracy": 0.10869565217391304,
|
| 335 |
+
"eval_loss": 108.39895629882812,
|
| 336 |
+
"eval_runtime": 0.6281,
|
| 337 |
+
"eval_samples_per_second": 73.232,
|
| 338 |
+
"eval_steps_per_second": 4.776,
|
| 339 |
"step": 105
|
| 340 |
},
|
| 341 |
{
|
| 342 |
"epoch": 30.86,
|
| 343 |
"eval_accuracy": 0.10869565217391304,
|
| 344 |
+
"eval_loss": 108.70501708984375,
|
| 345 |
+
"eval_runtime": 0.6417,
|
| 346 |
+
"eval_samples_per_second": 71.69,
|
| 347 |
+
"eval_steps_per_second": 4.675,
|
| 348 |
"step": 108
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"epoch": 31.43,
|
| 352 |
+
"learning_rate": 2.7777777777777772e-05,
|
| 353 |
+
"loss": 109.688,
|
| 354 |
"step": 110
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"epoch": 32.0,
|
| 358 |
"eval_accuracy": 0.10869565217391304,
|
| 359 |
+
"eval_loss": 108.7237319946289,
|
| 360 |
+
"eval_runtime": 0.6112,
|
| 361 |
+
"eval_samples_per_second": 75.267,
|
| 362 |
+
"eval_steps_per_second": 4.909,
|
| 363 |
"step": 112
|
| 364 |
},
|
| 365 |
{
|
| 366 |
"epoch": 32.86,
|
| 367 |
"eval_accuracy": 0.10869565217391304,
|
| 368 |
+
"eval_loss": 109.0678939819336,
|
| 369 |
+
"eval_runtime": 0.6072,
|
| 370 |
+
"eval_samples_per_second": 75.763,
|
| 371 |
+
"eval_steps_per_second": 4.941,
|
| 372 |
"step": 115
|
| 373 |
},
|
| 374 |
{
|
| 375 |
"epoch": 34.0,
|
| 376 |
"eval_accuracy": 0.10869565217391304,
|
| 377 |
+
"eval_loss": 108.574951171875,
|
| 378 |
+
"eval_runtime": 0.6091,
|
| 379 |
+
"eval_samples_per_second": 75.516,
|
| 380 |
+
"eval_steps_per_second": 4.925,
|
| 381 |
"step": 119
|
| 382 |
},
|
| 383 |
{
|
| 384 |
"epoch": 34.29,
|
| 385 |
"learning_rate": 0.0,
|
| 386 |
+
"loss": 109.4549,
|
| 387 |
"step": 120
|
| 388 |
},
|
| 389 |
{
|
| 390 |
"epoch": 34.29,
|
| 391 |
"eval_accuracy": 0.10869565217391304,
|
| 392 |
+
"eval_loss": 108.5167465209961,
|
| 393 |
+
"eval_runtime": 0.6016,
|
| 394 |
+
"eval_samples_per_second": 76.457,
|
| 395 |
+
"eval_steps_per_second": 4.986,
|
| 396 |
"step": 120
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 34.29,
|
| 400 |
"step": 120,
|
| 401 |
"total_flos": 2.0027429927092224e+16,
|
| 402 |
+
"train_loss": 111.37485249837239,
|
| 403 |
+
"train_runtime": 136.0598,
|
| 404 |
+
"train_samples_per_second": 62.62,
|
| 405 |
+
"train_steps_per_second": 0.882
|
| 406 |
}
|
| 407 |
],
|
| 408 |
"logging_steps": 10,
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4728
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cb32682ac9637aabf7bfeee556e5232c7b3af6054a8291210f22ee42fe3540cf
|
| 3 |
size 4728
|