Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: databricks/dolly-v2-3b
+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": "databricks/dolly-v2-3b",
+  "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": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query_key_value",
+    "dense_4h_to_h",
+    "dense",
+    "dense_h_to_4h"
+  ],
+  "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 sha256:396a837af909e45d7e236fa3b802203a1b447969aa458199e2d193fd76a392ce
+size 556856304

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:050085c0ae0e1b61f4c6530277378f4f39da48ae22d67f90e404a1f0dfb9c0c1
+size 21599060

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f72015358b69c37733d550be4a13f28bb89c908198c49c3107955d9be4ef128
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2d754412c61116546142914503e7369d0cc35d3c380a07e5218f595d76b6d96
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,35 @@
+{
+  "additional_special_tokens": [
+    "### End",
+    "### Instruction:",
+    "### Response:"
+  ],
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "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": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,252 @@
+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|padding|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "                        ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50255": {
+      "content": "                       ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50256": {
+      "content": "                      ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50257": {
+      "content": "                     ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50258": {
+      "content": "                    ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50259": {
+      "content": "                   ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50260": {
+      "content": "                  ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50261": {
+      "content": "                 ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50262": {
+      "content": "                ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50263": {
+      "content": "               ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50264": {
+      "content": "              ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50265": {
+      "content": "             ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50266": {
+      "content": "            ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50267": {
+      "content": "           ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50268": {
+      "content": "          ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50269": {
+      "content": "         ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50270": {
+      "content": "        ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50271": {
+      "content": "       ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50272": {
+      "content": "      ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50273": {
+      "content": "     ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50274": {
+      "content": "    ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50275": {
+      "content": "   ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50276": {
+      "content": "  ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50277": {
+      "content": "### End",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "### Instruction:",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "### Response:",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "### End",
+    "### Instruction:",
+    "### Response:"
+  ],
+  "bos_token": "<|endoftext|>",
+  "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|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "tokenizer_class": "GPTNeoXTokenizer",
+  "unk_token": "<|endoftext|>"
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,353 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.3040668947168377,
+  "eval_steps": 50,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0015203344735841885,
+      "eval_loss": 1.6278578042984009,
+      "eval_runtime": 18.3215,
+      "eval_samples_per_second": 15.119,
+      "eval_steps_per_second": 7.587,
+      "step": 1
+    },
+    {
+      "epoch": 0.007601672367920942,
+      "grad_norm": 2.8419041633605957,
+      "learning_rate": 5e-05,
+      "loss": 6.2872,
+      "step": 5
+    },
+    {
+      "epoch": 0.015203344735841885,
+      "grad_norm": 3.7919328212738037,
+      "learning_rate": 0.0001,
+      "loss": 6.6235,
+      "step": 10
+    },
+    {
+      "epoch": 0.02280501710376283,
+      "grad_norm": 4.106075286865234,
+      "learning_rate": 9.98292246503335e-05,
+      "loss": 6.0087,
+      "step": 15
+    },
+    {
+      "epoch": 0.03040668947168377,
+      "grad_norm": 4.366232872009277,
+      "learning_rate": 9.931806517013612e-05,
+      "loss": 5.5816,
+      "step": 20
+    },
+    {
+      "epoch": 0.03800836183960471,
+      "grad_norm": 4.517504692077637,
+      "learning_rate": 9.847001329696653e-05,
+      "loss": 5.3499,
+      "step": 25
+    },
+    {
+      "epoch": 0.04561003420752566,
+      "grad_norm": 4.5565056800842285,
+      "learning_rate": 9.729086208503174e-05,
+      "loss": 5.2733,
+      "step": 30
+    },
+    {
+      "epoch": 0.0532117065754466,
+      "grad_norm": 5.580263137817383,
+      "learning_rate": 9.578866633275288e-05,
+      "loss": 5.524,
+      "step": 35
+    },
+    {
+      "epoch": 0.06081337894336754,
+      "grad_norm": 5.095555305480957,
+      "learning_rate": 9.397368756032445e-05,
+      "loss": 5.3861,
+      "step": 40
+    },
+    {
+      "epoch": 0.06841505131128849,
+      "grad_norm": 4.752811908721924,
+      "learning_rate": 9.185832391312644e-05,
+      "loss": 4.8127,
+      "step": 45
+    },
+    {
+      "epoch": 0.07601672367920942,
+      "grad_norm": 4.146973609924316,
+      "learning_rate": 8.945702546981969e-05,
+      "loss": 4.823,
+      "step": 50
+    },
+    {
+      "epoch": 0.07601672367920942,
+      "eval_loss": 1.2947298288345337,
+      "eval_runtime": 18.6608,
+      "eval_samples_per_second": 14.844,
+      "eval_steps_per_second": 7.449,
+      "step": 50
+    },
+    {
+      "epoch": 0.08361839604713037,
+      "grad_norm": 3.1643850803375244,
+      "learning_rate": 8.678619553365659e-05,
+      "loss": 5.1643,
+      "step": 55
+    },
+    {
+      "epoch": 0.09122006841505131,
+      "grad_norm": 3.623185396194458,
+      "learning_rate": 8.386407858128706e-05,
+      "loss": 5.3021,
+      "step": 60
+    },
+    {
+      "epoch": 0.09882174078297225,
+      "grad_norm": 3.887627363204956,
+      "learning_rate": 8.07106356344834e-05,
+      "loss": 5.0388,
+      "step": 65
+    },
+    {
+      "epoch": 0.1064234131508932,
+      "grad_norm": 3.948063611984253,
+      "learning_rate": 7.734740790612136e-05,
+      "loss": 4.7955,
+      "step": 70
+    },
+    {
+      "epoch": 0.11402508551881414,
+      "grad_norm": 4.431191921234131,
+      "learning_rate": 7.379736965185368e-05,
+      "loss": 4.9352,
+      "step": 75
+    },
+    {
+      "epoch": 0.12162675788673508,
+      "grad_norm": 5.341444969177246,
+      "learning_rate": 7.008477123264848e-05,
+      "loss": 5.0125,
+      "step": 80
+    },
+    {
+      "epoch": 0.12922843025465602,
+      "grad_norm": 6.127177715301514,
+      "learning_rate": 6.623497346023418e-05,
+      "loss": 5.4098,
+      "step": 85
+    },
+    {
+      "epoch": 0.13683010262257697,
+      "grad_norm": 6.2046003341674805,
+      "learning_rate": 6.227427435703997e-05,
+      "loss": 5.6714,
+      "step": 90
+    },
+    {
+      "epoch": 0.14443177499049792,
+      "grad_norm": 4.405932903289795,
+      "learning_rate": 5.8229729514036705e-05,
+      "loss": 4.1382,
+      "step": 95
+    },
+    {
+      "epoch": 0.15203344735841884,
+      "grad_norm": 5.398401260375977,
+      "learning_rate": 5.4128967273616625e-05,
+      "loss": 4.5947,
+      "step": 100
+    },
+    {
+      "epoch": 0.15203344735841884,
+      "eval_loss": 1.2560712099075317,
+      "eval_runtime": 18.7243,
+      "eval_samples_per_second": 14.794,
+      "eval_steps_per_second": 7.423,
+      "step": 100
+    },
+    {
+      "epoch": 0.15963511972633979,
+      "grad_norm": 3.5515384674072266,
+      "learning_rate": 5e-05,
+      "loss": 5.1294,
+      "step": 105
+    },
+    {
+      "epoch": 0.16723679209426073,
+      "grad_norm": 4.03835916519165,
+      "learning_rate": 4.5871032726383386e-05,
+      "loss": 4.9121,
+      "step": 110
+    },
+    {
+      "epoch": 0.17483846446218168,
+      "grad_norm": 4.950424671173096,
+      "learning_rate": 4.17702704859633e-05,
+      "loss": 4.8445,
+      "step": 115
+    },
+    {
+      "epoch": 0.18244013683010263,
+      "grad_norm": 4.728461742401123,
+      "learning_rate": 3.772572564296005e-05,
+      "loss": 4.9264,
+      "step": 120
+    },
+    {
+      "epoch": 0.19004180919802358,
+      "grad_norm": 4.832426071166992,
+      "learning_rate": 3.3765026539765834e-05,
+      "loss": 4.8889,
+      "step": 125
+    },
+    {
+      "epoch": 0.1976434815659445,
+      "grad_norm": 4.8872246742248535,
+      "learning_rate": 2.991522876735154e-05,
+      "loss": 5.0373,
+      "step": 130
+    },
+    {
+      "epoch": 0.20524515393386544,
+      "grad_norm": 6.422519683837891,
+      "learning_rate": 2.6202630348146324e-05,
+      "loss": 4.7572,
+      "step": 135
+    },
+    {
+      "epoch": 0.2128468263017864,
+      "grad_norm": 4.094095230102539,
+      "learning_rate": 2.2652592093878666e-05,
+      "loss": 5.3434,
+      "step": 140
+    },
+    {
+      "epoch": 0.22044849866970734,
+      "grad_norm": 4.752438068389893,
+      "learning_rate": 1.928936436551661e-05,
+      "loss": 4.3029,
+      "step": 145
+    },
+    {
+      "epoch": 0.22805017103762829,
+      "grad_norm": 5.265185356140137,
+      "learning_rate": 1.6135921418712956e-05,
+      "loss": 4.6294,
+      "step": 150
+    },
+    {
+      "epoch": 0.22805017103762829,
+      "eval_loss": 1.2389527559280396,
+      "eval_runtime": 18.6786,
+      "eval_samples_per_second": 14.83,
+      "eval_steps_per_second": 7.442,
+      "step": 150
+    },
+    {
+      "epoch": 0.23565184340554923,
+      "grad_norm": 3.934525728225708,
+      "learning_rate": 1.3213804466343421e-05,
+      "loss": 5.4618,
+      "step": 155
+    },
+    {
+      "epoch": 0.24325351577347015,
+      "grad_norm": 4.324830532073975,
+      "learning_rate": 1.0542974530180327e-05,
+      "loss": 5.2351,
+      "step": 160
+    },
+    {
+      "epoch": 0.2508551881413911,
+      "grad_norm": 4.316155910491943,
+      "learning_rate": 8.141676086873572e-06,
+      "loss": 5.0412,
+      "step": 165
+    },
+    {
+      "epoch": 0.25845686050931205,
+      "grad_norm": 4.710128307342529,
+      "learning_rate": 6.026312439675552e-06,
+      "loss": 4.7803,
+      "step": 170
+    },
+    {
+      "epoch": 0.26605853287723297,
+      "grad_norm": 4.378386497497559,
+      "learning_rate": 4.2113336672471245e-06,
+      "loss": 4.6198,
+      "step": 175
+    },
+    {
+      "epoch": 0.27366020524515394,
+      "grad_norm": 5.698144912719727,
+      "learning_rate": 2.7091379149682685e-06,
+      "loss": 4.9306,
+      "step": 180
+    },
+    {
+      "epoch": 0.28126187761307486,
+      "grad_norm": 6.138612747192383,
+      "learning_rate": 1.5299867030334814e-06,
+      "loss": 5.137,
+      "step": 185
+    },
+    {
+      "epoch": 0.28886354998099584,
+      "grad_norm": 7.554653167724609,
+      "learning_rate": 6.819348298638839e-07,
+      "loss": 5.3823,
+      "step": 190
+    },
+    {
+      "epoch": 0.29646522234891676,
+      "grad_norm": 4.520476341247559,
+      "learning_rate": 1.7077534966650766e-07,
+      "loss": 4.8598,
+      "step": 195
+    },
+    {
+      "epoch": 0.3040668947168377,
+      "grad_norm": 5.928419589996338,
+      "learning_rate": 0.0,
+      "loss": 4.24,
+      "step": 200
+    },
+    {
+      "epoch": 0.3040668947168377,
+      "eval_loss": 1.2346287965774536,
+      "eval_runtime": 18.7192,
+      "eval_samples_per_second": 14.798,
+      "eval_steps_per_second": 7.426,
+      "step": 200
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4.75347107708928e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:957ccbdc83eb23fd74412be252a849ee88f0cb5d3612a3e8b037c591b757a3f1
+size 6776