End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: microsoft/Phi-3-mini-4k-instruct
+model-index:
+- name: dpo_with_se
+  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. -->
+
+# dpo_with_se
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6194
+- Rewards/chosen: -0.6699
+- Rewards/rejected: -1.1107
+- Rewards/accuracies: 0.6458
+- Rewards/margins: 0.4407
+- Logps/rejected: -422.9081
+- Logps/chosen: -458.9963
+- Logits/rejected: 0.0509
+- Logits/chosen: 0.1892
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.7121        | 0.0622 | 50   | 0.7078          | 1.9859         | 1.9118           | 0.5694             | 0.0741          | -392.6837      | -432.4385    | 0.1883          | 0.3317        |
+| 0.672         | 0.1244 | 100  | 0.6718          | 0.4213         | 0.2008           | 0.5972             | 0.2204          | -409.7933      | -448.0844    | 0.1330          | 0.2722        |
+| 0.6803        | 0.1866 | 150  | 0.6633          | 1.2004         | 0.9074           | 0.6215             | 0.2930          | -402.7275      | -440.2932    | 0.2565          | 0.3917        |
+| 0.6816        | 0.2488 | 200  | 0.6535          | -0.2285        | -0.4811          | 0.5938             | 0.2526          | -416.6123      | -454.5817    | 0.1335          | 0.2706        |
+| 0.6719        | 0.3109 | 250  | 0.6768          | -0.0803        | -0.2830          | 0.6007             | 0.2027          | -414.6320      | -453.1003    | 0.1071          | 0.2455        |
+| 0.642         | 0.3731 | 300  | 0.6402          | 0.3405         | 0.0226           | 0.6146             | 0.3179          | -411.5756      | -448.8922    | 0.0864          | 0.2271        |
+| 0.6675        | 0.4353 | 350  | 0.6472          | 0.7586         | 0.4677           | 0.6007             | 0.2909          | -407.1244      | -444.7109    | 0.1382          | 0.2779        |
+| 0.6581        | 0.4975 | 400  | 0.6502          | -0.0310        | -0.3059          | 0.6181             | 0.2749          | -414.8607      | -452.6067    | 0.0326          | 0.1770        |
+| 0.6155        | 0.5597 | 450  | 0.6416          | 0.0254         | -0.2895          | 0.625              | 0.3149          | -414.6964      | -452.0428    | 0.1102          | 0.2490        |
+| 0.6438        | 0.6219 | 500  | 0.6383          | -0.2805        | -0.6002          | 0.625              | 0.3197          | -417.8031      | -455.1015    | 0.0799          | 0.2196        |
+| 0.6069        | 0.6841 | 550  | 0.6360          | -0.6526        | -0.9456          | 0.6007             | 0.2930          | -421.2573      | -458.8233    | 0.1079          | 0.2462        |
+| 0.6227        | 0.7463 | 600  | 0.6349          | -0.0705        | -0.3659          | 0.6215             | 0.2954          | -415.4609      | -453.0020    | 0.0381          | 0.1807        |
+| 0.6473        | 0.8085 | 650  | 0.6331          | -0.3187        | -0.6771          | 0.6528             | 0.3584          | -418.5728      | -455.4844    | 0.1406          | 0.2776        |
+| 0.6259        | 0.8706 | 700  | 0.6295          | -0.4256        | -0.7399          | 0.6111             | 0.3143          | -419.2006      | -456.5528    | 0.0986          | 0.2391        |
+| 0.6572        | 0.9328 | 750  | 0.6389          | -0.5969        | -0.8936          | 0.6007             | 0.2967          | -420.7374      | -458.2657    | 0.0726          | 0.2120        |
+| 0.63          | 0.9950 | 800  | 0.6310          | -0.2243        | -0.5516          | 0.6285             | 0.3274          | -417.3179      | -454.5398    | 0.1026          | 0.2406        |
+| 0.4431        | 1.0572 | 850  | 0.6238          | -0.3325        | -0.7169          | 0.6632             | 0.3844          | -418.9702      | -455.6217    | 0.0604          | 0.1992        |
+| 0.47          | 1.1194 | 900  | 0.6286          | -0.6589        | -1.1143          | 0.6597             | 0.4554          | -422.9441      | -458.8861    | -0.0269         | 0.1154        |
+| 0.4436        | 1.1816 | 950  | 0.6252          | -0.6243        | -1.0270          | 0.6354             | 0.4027          | -422.0717      | -458.5404    | 0.0062          | 0.1465        |
+| 0.4483        | 1.2438 | 1000 | 0.6238          | -0.6325        | -1.0514          | 0.6319             | 0.4189          | -422.3156      | -458.6222    | 0.0434          | 0.1813        |
+| 0.4568        | 1.3060 | 1050 | 0.6297          | -0.9557        | -1.3457          | 0.6285             | 0.3900          | -425.2583      | -461.8539    | 0.1563          | 0.2901        |
+| 0.4555        | 1.3682 | 1100 | 0.6311          | -0.5825        | -1.0012          | 0.6319             | 0.4188          | -421.8140      | -458.1216    | 0.0905          | 0.2271        |
+| 0.4744        | 1.4303 | 1150 | 0.6248          | -0.5365        | -0.9374          | 0.6424             | 0.4008          | -421.1751      | -457.6623    | 0.0472          | 0.1861        |
+| 0.4245        | 1.4925 | 1200 | 0.6255          | -0.6457        | -1.0579          | 0.6424             | 0.4122          | -422.3806      | -458.7540    | -0.0423         | 0.0997        |
+| 0.4767        | 1.5547 | 1250 | 0.6294          | -0.7333        | -1.1519          | 0.6319             | 0.4185          | -423.3202      | -459.6304    | 0.1300          | 0.2652        |
+| 0.4714        | 1.6169 | 1300 | 0.6253          | -0.8128        | -1.2388          | 0.6493             | 0.4261          | -424.1896      | -460.4245    | 0.0397          | 0.1788        |
+| 0.4336        | 1.6791 | 1350 | 0.6229          | -0.7654        | -1.2064          | 0.6424             | 0.4410          | -423.8654      | -459.9506    | 0.1234          | 0.2587        |
+| 0.4791        | 1.7413 | 1400 | 0.6216          | -0.7578        | -1.2069          | 0.6389             | 0.4492          | -423.8710      | -459.8747    | 0.0547          | 0.1931        |
+| 0.439         | 1.8035 | 1450 | 0.6204          | -0.7469        | -1.1972          | 0.6493             | 0.4502          | -423.7731      | -459.7664    | 0.0661          | 0.2040        |
+| 0.4419        | 1.8657 | 1500 | 0.6194          | -0.6699        | -1.1107          | 0.6458             | 0.4407          | -422.9081      | -458.9963    | 0.0509          | 0.1892        |
+| 0.4593        | 1.9279 | 1550 | 0.6214          | -0.6895        | -1.1228          | 0.6528             | 0.4333          | -423.0291      | -459.1917    | 0.0628          | 0.2005        |
+| 0.4444        | 1.9900 | 1600 | 0.6229          | -0.6827        | -1.1246          | 0.6667             | 0.4419          | -423.0472      | -459.1237    | 0.0863          | 0.2226        |
+
+
+### Framework versions
+
+- PEFT 0.11.2.dev0
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "qkv_proj",
+    "gate_up_proj",
+    "down_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": true,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:6ae11794c373dfdae3888dbfafa6f559bb2169d03d1600277d489391d041c415
+size 205442552

all_results.json

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+{
+    "epoch": 2.0,
+    "eval_logits/chosen": 0.1892445683479309,
+    "eval_logits/rejected": 0.05091705545783043,
+    "eval_logps/chosen": -458.9963073730469,
+    "eval_logps/rejected": -422.9080810546875,
+    "eval_loss": 0.6194455623626709,
+    "eval_rewards/accuracies": 0.6458333134651184,
+    "eval_rewards/chosen": -0.6699296832084656,
+    "eval_rewards/margins": 0.4407287836074829,
+    "eval_rewards/rejected": -1.1106584072113037,
+    "eval_runtime": 150.7643,
+    "eval_samples": 1143,
+    "eval_samples_per_second": 7.581,
+    "eval_steps_per_second": 0.239,
+    "total_flos": 0.0,
+    "train_loss": 0.5581450056080794,
+    "train_runtime": 39294.0243,
+    "train_samples_per_second": 2.619,
+    "train_steps_per_second": 0.041
+}

completed/README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: microsoft/Phi-3-mini-4k-instruct
+---
+
+# 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 0.11.2.dev0

completed/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "qkv_proj",
+    "gate_up_proj",
+    "down_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": true,
+  "use_rslora": false
+}

completed/adapter_model.safetensors

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completed/special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
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+}

completed/tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": false,
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "legacy": false,
+  "model_max_length": 2048,
+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

completed/training_args.bin

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eval_results.json

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+{
+    "epoch": 2.0,
+    "eval_logits/chosen": 0.1892445683479309,
+    "eval_logits/rejected": 0.05091705545783043,
+    "eval_logps/chosen": -458.9963073730469,
+    "eval_logps/rejected": -422.9080810546875,
+    "eval_loss": 0.6194455623626709,
+    "eval_rewards/accuracies": 0.6458333134651184,
+    "eval_rewards/chosen": -0.6699296832084656,
+    "eval_rewards/margins": 0.4407287836074829,
+    "eval_rewards/rejected": -1.1106584072113037,
+    "eval_runtime": 150.7643,
+    "eval_samples": 1143,
+    "eval_samples_per_second": 7.581,
+    "eval_steps_per_second": 0.239
+}

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "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": "<unk>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,130 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "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": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "legacy": false,
+  "model_max_length": 2048,
+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "total_flos": 0.0,
+    "train_loss": 0.5581450056080794,
+    "train_runtime": 39294.0243,
+    "train_samples_per_second": 2.619,
+    "train_steps_per_second": 0.041
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:94c2213eca748bd235b91a3d38819e663f1a0fa6840ae609a7a9d90aed84c403
+size 5880