Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: Xenova/tiny-random-Phi3ForCausalLM
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Xenova/tiny-random-Phi3ForCausalLM",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "qkv_proj",
+    "gate_up_proj",
+    "down_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87eeff46dfc330798560b3243cdb54a5178613fc7b9a82f4826cae9a10bd8cf0
+size 231448

last-checkpoint/added_tokens.json

@@ -0,0 +1,13 @@
+{
+  "<|assistant|>": 32001,
+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|placeholder1|>": 32002,
+  "<|placeholder2|>": 32003,
+  "<|placeholder3|>": 32004,
+  "<|placeholder4|>": 32005,
+  "<|placeholder5|>": 32008,
+  "<|placeholder6|>": 32009,
+  "<|system|>": 32006,
+  "<|user|>": 32010
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b74db68d2266e151528ff30b20b0eda9a580491f2b6c30de1c2c1a0f34f0c6a
+size 254576

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5401d7f32a3ec37b6c019ade0739a87e2e7d784fbd05fee949b48ebb5de68292
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d359eb5d29e75fb2bbe5b7026981da69b95b8ad1fea469302d13cde104f7e8a
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,131 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "32000": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|placeholder1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<|placeholder2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<|placeholder3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<|placeholder4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<|placeholder5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<|placeholder6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "legacy": true,
+  "model_max_length": 4096,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 10.259688377380371,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.17825311942959002,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0035650623885918,
+      "grad_norm": 0.4096238911151886,
+      "learning_rate": 1e-05,
+      "loss": 10.3758,
+      "step": 1
+    },
+    {
+      "epoch": 0.0035650623885918,
+      "eval_loss": 10.376816749572754,
+      "eval_runtime": 1.0347,
+      "eval_samples_per_second": 457.123,
+      "eval_steps_per_second": 115.005,
+      "step": 1
+    },
+    {
+      "epoch": 0.0071301247771836,
+      "grad_norm": 0.40438687801361084,
+      "learning_rate": 2e-05,
+      "loss": 10.3767,
+      "step": 2
+    },
+    {
+      "epoch": 0.0106951871657754,
+      "grad_norm": 0.4014440178871155,
+      "learning_rate": 3e-05,
+      "loss": 10.3767,
+      "step": 3
+    },
+    {
+      "epoch": 0.0142602495543672,
+      "grad_norm": 0.38748297095298767,
+      "learning_rate": 4e-05,
+      "loss": 10.3742,
+      "step": 4
+    },
+    {
+      "epoch": 0.017825311942959002,
+      "grad_norm": 0.3970891237258911,
+      "learning_rate": 5e-05,
+      "loss": 10.373,
+      "step": 5
+    },
+    {
+      "epoch": 0.0213903743315508,
+      "grad_norm": 0.392198383808136,
+      "learning_rate": 6e-05,
+      "loss": 10.3758,
+      "step": 6
+    },
+    {
+      "epoch": 0.024955436720142603,
+      "grad_norm": 0.40189436078071594,
+      "learning_rate": 7e-05,
+      "loss": 10.3749,
+      "step": 7
+    },
+    {
+      "epoch": 0.0285204991087344,
+      "grad_norm": 0.39497140049934387,
+      "learning_rate": 8e-05,
+      "loss": 10.3734,
+      "step": 8
+    },
+    {
+      "epoch": 0.03208556149732621,
+      "grad_norm": 0.3877145051956177,
+      "learning_rate": 9e-05,
+      "loss": 10.369,
+      "step": 9
+    },
+    {
+      "epoch": 0.035650623885918005,
+      "grad_norm": 0.42304643988609314,
+      "learning_rate": 0.0001,
+      "loss": 10.367,
+      "step": 10
+    },
+    {
+      "epoch": 0.0392156862745098,
+      "grad_norm": 0.41205286979675293,
+      "learning_rate": 9.999316524962345e-05,
+      "loss": 10.3631,
+      "step": 11
+    },
+    {
+      "epoch": 0.0427807486631016,
+      "grad_norm": 0.4002147912979126,
+      "learning_rate": 9.997266286704631e-05,
+      "loss": 10.3571,
+      "step": 12
+    },
+    {
+      "epoch": 0.04634581105169341,
+      "grad_norm": 0.41098731756210327,
+      "learning_rate": 9.993849845741524e-05,
+      "loss": 10.3615,
+      "step": 13
+    },
+    {
+      "epoch": 0.049910873440285206,
+      "grad_norm": 0.42324918508529663,
+      "learning_rate": 9.989068136093873e-05,
+      "loss": 10.3605,
+      "step": 14
+    },
+    {
+      "epoch": 0.053475935828877004,
+      "grad_norm": 0.470659464597702,
+      "learning_rate": 9.98292246503335e-05,
+      "loss": 10.349,
+      "step": 15
+    },
+    {
+      "epoch": 0.0570409982174688,
+      "grad_norm": 0.4759865701198578,
+      "learning_rate": 9.975414512725057e-05,
+      "loss": 10.3489,
+      "step": 16
+    },
+    {
+      "epoch": 0.06060606060606061,
+      "grad_norm": 0.48057541251182556,
+      "learning_rate": 9.966546331768191e-05,
+      "loss": 10.3457,
+      "step": 17
+    },
+    {
+      "epoch": 0.06417112299465241,
+      "grad_norm": 0.5113264918327332,
+      "learning_rate": 9.956320346634876e-05,
+      "loss": 10.3409,
+      "step": 18
+    },
+    {
+      "epoch": 0.0677361853832442,
+      "grad_norm": 0.5823430418968201,
+      "learning_rate": 9.944739353007344e-05,
+      "loss": 10.3392,
+      "step": 19
+    },
+    {
+      "epoch": 0.07130124777183601,
+      "grad_norm": 0.5749707221984863,
+      "learning_rate": 9.931806517013612e-05,
+      "loss": 10.3347,
+      "step": 20
+    },
+    {
+      "epoch": 0.0748663101604278,
+      "grad_norm": 0.5930309295654297,
+      "learning_rate": 9.917525374361912e-05,
+      "loss": 10.331,
+      "step": 21
+    },
+    {
+      "epoch": 0.0784313725490196,
+      "grad_norm": 0.6082383990287781,
+      "learning_rate": 9.901899829374047e-05,
+      "loss": 10.3285,
+      "step": 22
+    },
+    {
+      "epoch": 0.08199643493761141,
+      "grad_norm": 0.6586599349975586,
+      "learning_rate": 9.884934153917997e-05,
+      "loss": 10.3196,
+      "step": 23
+    },
+    {
+      "epoch": 0.0855614973262032,
+      "grad_norm": 0.6275491714477539,
+      "learning_rate": 9.86663298624003e-05,
+      "loss": 10.3154,
+      "step": 24
+    },
+    {
+      "epoch": 0.08912655971479501,
+      "grad_norm": 0.6618029475212097,
+      "learning_rate": 9.847001329696653e-05,
+      "loss": 10.3076,
+      "step": 25
+    },
+    {
+      "epoch": 0.09269162210338681,
+      "grad_norm": 0.6224701404571533,
+      "learning_rate": 9.826044551386744e-05,
+      "loss": 10.3068,
+      "step": 26
+    },
+    {
+      "epoch": 0.0962566844919786,
+      "grad_norm": 0.6258916258811951,
+      "learning_rate": 9.803768380684242e-05,
+      "loss": 10.305,
+      "step": 27
+    },
+    {
+      "epoch": 0.09982174688057041,
+      "grad_norm": 0.587232232093811,
+      "learning_rate": 9.780178907671789e-05,
+      "loss": 10.2989,
+      "step": 28
+    },
+    {
+      "epoch": 0.10338680926916222,
+      "grad_norm": 0.5430893301963806,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 10.2914,
+      "step": 29
+    },
+    {
+      "epoch": 0.10695187165775401,
+      "grad_norm": 0.5052014589309692,
+      "learning_rate": 9.729086208503174e-05,
+      "loss": 10.2911,
+      "step": 30
+    },
+    {
+      "epoch": 0.11051693404634581,
+      "grad_norm": 0.4604130983352661,
+      "learning_rate": 9.701596950580806e-05,
+      "loss": 10.2871,
+      "step": 31
+    },
+    {
+      "epoch": 0.1140819964349376,
+      "grad_norm": 0.4616841971874237,
+      "learning_rate": 9.672822322997305e-05,
+      "loss": 10.281,
+      "step": 32
+    },
+    {
+      "epoch": 0.11764705882352941,
+      "grad_norm": 0.4156523048877716,
+      "learning_rate": 9.642770192448536e-05,
+      "loss": 10.2794,
+      "step": 33
+    },
+    {
+      "epoch": 0.12121212121212122,
+      "grad_norm": 0.37444058060646057,
+      "learning_rate": 9.611448774886924e-05,
+      "loss": 10.2723,
+      "step": 34
+    },
+    {
+      "epoch": 0.12477718360071301,
+      "grad_norm": 0.3438158631324768,
+      "learning_rate": 9.578866633275288e-05,
+      "loss": 10.2793,
+      "step": 35
+    },
+    {
+      "epoch": 0.12834224598930483,
+      "grad_norm": 0.30453529953956604,
+      "learning_rate": 9.545032675245813e-05,
+      "loss": 10.2719,
+      "step": 36
+    },
+    {
+      "epoch": 0.1319073083778966,
+      "grad_norm": 0.3030957579612732,
+      "learning_rate": 9.509956150664796e-05,
+      "loss": 10.2726,
+      "step": 37
+    },
+    {
+      "epoch": 0.1354723707664884,
+      "grad_norm": 0.28578367829322815,
+      "learning_rate": 9.473646649103818e-05,
+      "loss": 10.2729,
+      "step": 38
+    },
+    {
+      "epoch": 0.13903743315508021,
+      "grad_norm": 0.26348865032196045,
+      "learning_rate": 9.43611409721806e-05,
+      "loss": 10.2706,
+      "step": 39
+    },
+    {
+      "epoch": 0.14260249554367202,
+      "grad_norm": 0.2681392431259155,
+      "learning_rate": 9.397368756032445e-05,
+      "loss": 10.2685,
+      "step": 40
+    },
+    {
+      "epoch": 0.14616755793226383,
+      "grad_norm": 0.22420889139175415,
+      "learning_rate": 9.357421218136386e-05,
+      "loss": 10.2673,
+      "step": 41
+    },
+    {
+      "epoch": 0.1497326203208556,
+      "grad_norm": 0.22650201618671417,
+      "learning_rate": 9.316282404787871e-05,
+      "loss": 10.2656,
+      "step": 42
+    },
+    {
+      "epoch": 0.1532976827094474,
+      "grad_norm": 0.21033430099487305,
+      "learning_rate": 9.273963562927695e-05,
+      "loss": 10.2624,
+      "step": 43
+    },
+    {
+      "epoch": 0.1568627450980392,
+      "grad_norm": 0.1877707690000534,
+      "learning_rate": 9.230476262104677e-05,
+      "loss": 10.2636,
+      "step": 44
+    },
+    {
+      "epoch": 0.16042780748663102,
+      "grad_norm": 0.16589908301830292,
+      "learning_rate": 9.185832391312644e-05,
+      "loss": 10.2683,
+      "step": 45
+    },
+    {
+      "epoch": 0.16399286987522282,
+      "grad_norm": 0.1690380573272705,
+      "learning_rate": 9.140044155740101e-05,
+      "loss": 10.2546,
+      "step": 46
+    },
+    {
+      "epoch": 0.16755793226381463,
+      "grad_norm": 0.13539306819438934,
+      "learning_rate": 9.093124073433463e-05,
+      "loss": 10.2673,
+      "step": 47
+    },
+    {
+      "epoch": 0.1711229946524064,
+      "grad_norm": 0.17839652299880981,
+      "learning_rate": 9.045084971874738e-05,
+      "loss": 10.2612,
+      "step": 48
+    },
+    {
+      "epoch": 0.1746880570409982,
+      "grad_norm": 0.16410034894943237,
+      "learning_rate": 8.995939984474624e-05,
+      "loss": 10.2611,
+      "step": 49
+    },
+    {
+      "epoch": 0.17825311942959002,
+      "grad_norm": 0.16085289418697357,
+      "learning_rate": 8.945702546981969e-05,
+      "loss": 10.2613,
+      "step": 50
+    },
+    {
+      "epoch": 0.17825311942959002,
+      "eval_loss": 10.259688377380371,
+      "eval_runtime": 1.0383,
+      "eval_samples_per_second": 455.551,
+      "eval_steps_per_second": 114.61,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 10853076172800.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b622c8d09f91c60e2c735e12f5e44e91d6944a4e92e02c598c5373c6e36ad599
+size 6840