End of training

README.md

@@ -0,0 +1,140 @@
+---
+library_name: transformers
+language:
+- hr
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-base-1m.hr
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# whisper-base-1m.hr
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2480
+- Wer: 17.3979
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 6.25e-06
+- train_batch_size: 64
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 800
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.2907        | 0.0650 | 1000  | 0.3627          | 25.6512 |
+| 0.2591        | 0.1300 | 2000  | 0.3494          | 26.1731 |
+| 0.2394        | 0.1950 | 3000  | 0.3402          | 24.5520 |
+| 0.2234        | 0.2600 | 4000  | 0.3332          | 24.0163 |
+| 0.2241        | 0.3250 | 5000  | 0.3254          | 23.9978 |
+| 0.2173        | 0.3900 | 6000  | 0.3178          | 23.2126 |
+| 0.2108        | 0.4550 | 7000  | 0.3121          | 22.7970 |
+| 0.2129        | 0.5200 | 8000  | 0.3069          | 22.2520 |
+| 0.1993        | 0.5849 | 9000  | 0.3011          | 22.4044 |
+| 0.2009        | 0.6499 | 10000 | 0.2968          | 21.8917 |
+| 0.2           | 0.7149 | 11000 | 0.2930          | 21.6747 |
+| 0.1981        | 0.7799 | 12000 | 0.2903          | 21.4391 |
+| 0.1915        | 0.8449 | 13000 | 0.2879          | 20.4184 |
+| 0.1902        | 0.9099 | 14000 | 0.2836          | 21.3052 |
+| 0.1881        | 0.9749 | 15000 | 0.2803          | 20.9449 |
+| 0.1706        | 1.0399 | 16000 | 0.2805          | 20.8064 |
+| 0.1746        | 1.1049 | 17000 | 0.2787          | 20.7833 |
+| 0.1716        | 1.1699 | 18000 | 0.2782          | 19.5825 |
+| 0.172         | 1.2349 | 19000 | 0.2757          | 20.2476 |
+| 0.1666        | 1.2999 | 20000 | 0.2740          | 20.2845 |
+| 0.1574        | 1.3649 | 21000 | 0.2737          | 19.4763 |
+| 0.1668        | 1.4299 | 22000 | 0.2705          | 19.5317 |
+| 0.1697        | 1.4949 | 23000 | 0.2696          | 19.7210 |
+| 0.1593        | 1.5599 | 24000 | 0.2665          | 19.3977 |
+| 0.1665        | 1.6249 | 25000 | 0.2659          | 19.0052 |
+| 0.1592        | 1.6898 | 26000 | 0.2653          | 18.3863 |
+| 0.1629        | 1.7548 | 27000 | 0.2608          | 18.9775 |
+| 0.1588        | 1.8198 | 28000 | 0.2612          | 18.9544 |
+| 0.1559        | 1.8848 | 29000 | 0.2615          | 19.6379 |
+| 0.1552        | 1.9498 | 30000 | 0.2590          | 18.3909 |
+| 0.1452        | 2.0148 | 31000 | 0.2593          | 18.1969 |
+| 0.1485        | 2.0798 | 32000 | 0.2590          | 18.1554 |
+| 0.1464        | 2.1448 | 33000 | 0.2590          | 18.5433 |
+| 0.1446        | 2.2098 | 34000 | 0.2583          | 17.9060 |
+| 0.1361        | 2.2748 | 35000 | 0.2573          | 18.6265 |
+| 0.1434        | 2.3398 | 36000 | 0.2585          | 18.1969 |
+| 0.1426        | 2.4048 | 37000 | 0.2557          | 17.6935 |
+| 0.1497        | 2.4698 | 38000 | 0.2552          | 17.9845 |
+| 0.14          | 2.5348 | 39000 | 0.2558          | 18.3586 |
+| 0.1428        | 2.5998 | 40000 | 0.2549          | 17.2640 |
+| 0.147         | 2.6648 | 41000 | 0.2539          | 18.0260 |
+| 0.1411        | 2.7298 | 42000 | 0.2531          | 17.4626 |
+| 0.1441        | 2.7947 | 43000 | 0.2528          | 18.8989 |
+| 0.1521        | 2.8597 | 44000 | 0.2518          | 17.6889 |
+| 0.139         | 2.9247 | 45000 | 0.2515          | 18.4925 |
+| 0.1402        | 2.9897 | 46000 | 0.2507          | 17.3102 |
+| 0.1337        | 3.0547 | 47000 | 0.2522          | 17.7120 |
+| 0.131         | 3.1197 | 48000 | 0.2526          | 17.7674 |
+| 0.1282        | 3.1847 | 49000 | 0.2530          | 17.7028 |
+| 0.1289        | 3.2497 | 50000 | 0.2520          | 17.7258 |
+| 0.1296        | 3.3147 | 51000 | 0.2514          | 18.3863 |
+| 0.132         | 3.3797 | 52000 | 0.2512          | 17.9845 |
+| 0.1354        | 3.4447 | 53000 | 0.2512          | 17.2963 |
+| 0.13          | 3.5097 | 54000 | 0.2505          | 17.5734 |
+| 0.1311        | 3.5747 | 55000 | 0.2507          | 17.7443 |
+| 0.133         | 3.6397 | 56000 | 0.2491          | 16.7652 |
+| 0.1317        | 3.7047 | 57000 | 0.2488          | 17.0931 |
+| 0.1335        | 3.7697 | 58000 | 0.2489          | 18.2847 |
+| 0.1334        | 3.8347 | 59000 | 0.2489          | 17.7305 |
+| 0.1287        | 3.8996 | 60000 | 0.2480          | 17.8413 |
+| 0.1259        | 3.9646 | 61000 | 0.2481          | 17.4210 |
+| 0.1261        | 4.0296 | 62000 | 0.2495          | 17.3887 |
+| 0.1247        | 4.0946 | 63000 | 0.2498          | 17.4995 |
+| 0.1207        | 4.1596 | 64000 | 0.2495          | 17.3564 |
+| 0.1219        | 4.2246 | 65000 | 0.2494          | 17.3102 |
+| 0.1219        | 4.2896 | 66000 | 0.2493          | 17.1670 |
+| 0.1258        | 4.3546 | 67000 | 0.2491          | 17.3148 |
+| 0.1266        | 4.4196 | 68000 | 0.2488          | 17.1993 |
+| 0.1267        | 4.4846 | 69000 | 0.2489          | 17.2132 |
+| 0.1267        | 4.5496 | 70000 | 0.2483          | 17.3471 |
+| 0.1245        | 4.6146 | 71000 | 0.2482          | 17.5088 |
+| 0.126         | 4.6796 | 72000 | 0.2482          | 17.2317 |
+| 0.122         | 4.7446 | 73000 | 0.2482          | 17.1301 |
+| 0.1288        | 4.8096 | 74000 | 0.2483          | 17.3564 |
+| 0.1254        | 4.8746 | 75000 | 0.2481          | 17.2409 |
+| 0.1313        | 4.9396 | 76000 | 0.2480          | 17.3979 |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.21.0

generation_config.json

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+{
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+    [
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+      1
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+    [
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+      2
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+    [
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+    [
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+    [
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+      1
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+    [
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+    [
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+      6
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+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
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+    "<|ha|>": 50354,
+    "<|he|>": 50279,
+    "<|hi|>": 50276,
+    "<|hr|>": 50291,
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+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "language": "croatian",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.47.0"
+}

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