Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: EleutherAI/pythia-410m-deduped
+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": "EleutherAI/pythia-410m-deduped",
+  "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": [
+    "query_key_value",
+    "dense_4h_to_h",
+    "dense_h_to_4h",
+    "dense"
+  ],
+  "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 sha256:756f203c88d8a46cbb7de21237af8d2bcd20adb38c0c1844f8e8d703c116cf07
+size 100690184

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7d416fa6b51297c0e8a00939eca77c2ece58424d8dc1a5c325918220c29a221
+size 201488570

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36408642c5f398eeb3ac333150bcff203f19850d8528fd06f9b34c1a11e167c2
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5335737b4b4d079cdec612fe6ee661ed4d29f9e0e55eb4eada44a9677240228
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "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": "<|endoftext|>",
+    "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 +1,223 @@
+{
+  "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": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "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": "<|endoftext|>",
+  "tokenizer_class": "GPTNeoXTokenizer",
+  "unk_token": "<|endoftext|>"
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 3.4021708965301514,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.03543586109142452,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0007087172218284905,
+      "grad_norm": 123.34046173095703,
+      "learning_rate": 5e-06,
+      "loss": 18.8765,
+      "step": 1
+    },
+    {
+      "epoch": 0.0007087172218284905,
+      "eval_loss": 4.5730719566345215,
+      "eval_runtime": 41.3957,
+      "eval_samples_per_second": 57.421,
+      "eval_steps_per_second": 28.723,
+      "step": 1
+    },
+    {
+      "epoch": 0.001417434443656981,
+      "grad_norm": 126.09764862060547,
+      "learning_rate": 1e-05,
+      "loss": 17.565,
+      "step": 2
+    },
+    {
+      "epoch": 0.002126151665485471,
+      "grad_norm": 98.32621002197266,
+      "learning_rate": 1.5e-05,
+      "loss": 17.1474,
+      "step": 3
+    },
+    {
+      "epoch": 0.002834868887313962,
+      "grad_norm": 98.66162872314453,
+      "learning_rate": 2e-05,
+      "loss": 18.1538,
+      "step": 4
+    },
+    {
+      "epoch": 0.003543586109142452,
+      "grad_norm": 95.5206298828125,
+      "learning_rate": 2.5e-05,
+      "loss": 16.9068,
+      "step": 5
+    },
+    {
+      "epoch": 0.004252303330970942,
+      "grad_norm": 94.90991973876953,
+      "learning_rate": 3e-05,
+      "loss": 16.9586,
+      "step": 6
+    },
+    {
+      "epoch": 0.004961020552799433,
+      "grad_norm": 90.1701431274414,
+      "learning_rate": 3.5e-05,
+      "loss": 16.3591,
+      "step": 7
+    },
+    {
+      "epoch": 0.005669737774627924,
+      "grad_norm": 93.61396026611328,
+      "learning_rate": 4e-05,
+      "loss": 16.9772,
+      "step": 8
+    },
+    {
+      "epoch": 0.0063784549964564135,
+      "grad_norm": 116.69886779785156,
+      "learning_rate": 4.5e-05,
+      "loss": 16.1818,
+      "step": 9
+    },
+    {
+      "epoch": 0.007087172218284904,
+      "grad_norm": 105.126953125,
+      "learning_rate": 5e-05,
+      "loss": 16.2526,
+      "step": 10
+    },
+    {
+      "epoch": 0.007795889440113395,
+      "grad_norm": 99.95745849609375,
+      "learning_rate": 5.500000000000001e-05,
+      "loss": 16.7706,
+      "step": 11
+    },
+    {
+      "epoch": 0.008504606661941885,
+      "grad_norm": 97.78736877441406,
+      "learning_rate": 6e-05,
+      "loss": 15.736,
+      "step": 12
+    },
+    {
+      "epoch": 0.009213323883770375,
+      "grad_norm": 93.56790924072266,
+      "learning_rate": 6.500000000000001e-05,
+      "loss": 15.4341,
+      "step": 13
+    },
+    {
+      "epoch": 0.009922041105598866,
+      "grad_norm": 110.86166381835938,
+      "learning_rate": 7e-05,
+      "loss": 15.6974,
+      "step": 14
+    },
+    {
+      "epoch": 0.010630758327427357,
+      "grad_norm": 98.4378433227539,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 15.6701,
+      "step": 15
+    },
+    {
+      "epoch": 0.011339475549255847,
+      "grad_norm": 124.85730743408203,
+      "learning_rate": 8e-05,
+      "loss": 15.5973,
+      "step": 16
+    },
+    {
+      "epoch": 0.012048192771084338,
+      "grad_norm": 112.89445495605469,
+      "learning_rate": 8.5e-05,
+      "loss": 14.5089,
+      "step": 17
+    },
+    {
+      "epoch": 0.012756909992912827,
+      "grad_norm": 167.4550323486328,
+      "learning_rate": 9e-05,
+      "loss": 15.9948,
+      "step": 18
+    },
+    {
+      "epoch": 0.013465627214741318,
+      "grad_norm": 144.81105041503906,
+      "learning_rate": 9.5e-05,
+      "loss": 15.1406,
+      "step": 19
+    },
+    {
+      "epoch": 0.014174344436569808,
+      "grad_norm": 167.88742065429688,
+      "learning_rate": 0.0001,
+      "loss": 15.2472,
+      "step": 20
+    },
+    {
+      "epoch": 0.014883061658398299,
+      "grad_norm": 144.57725524902344,
+      "learning_rate": 9.999238475781957e-05,
+      "loss": 15.0754,
+      "step": 21
+    },
+    {
+      "epoch": 0.01559177888022679,
+      "grad_norm": 156.33030700683594,
+      "learning_rate": 9.99695413509548e-05,
+      "loss": 14.5475,
+      "step": 22
+    },
+    {
+      "epoch": 0.01630049610205528,
+      "grad_norm": 169.13458251953125,
+      "learning_rate": 9.99314767377287e-05,
+      "loss": 14.3058,
+      "step": 23
+    },
+    {
+      "epoch": 0.01700921332388377,
+      "grad_norm": 146.8626251220703,
+      "learning_rate": 9.987820251299122e-05,
+      "loss": 15.1345,
+      "step": 24
+    },
+    {
+      "epoch": 0.01771793054571226,
+      "grad_norm": 123.4835205078125,
+      "learning_rate": 9.980973490458728e-05,
+      "loss": 14.7627,
+      "step": 25
+    },
+    {
+      "epoch": 0.01842664776754075,
+      "grad_norm": 124.66146087646484,
+      "learning_rate": 9.972609476841367e-05,
+      "loss": 14.4132,
+      "step": 26
+    },
+    {
+      "epoch": 0.01913536498936924,
+      "grad_norm": 130.673828125,
+      "learning_rate": 9.962730758206611e-05,
+      "loss": 14.3445,
+      "step": 27
+    },
+    {
+      "epoch": 0.019844082211197732,
+      "grad_norm": 130.90879821777344,
+      "learning_rate": 9.951340343707852e-05,
+      "loss": 14.0658,
+      "step": 28
+    },
+    {
+      "epoch": 0.020552799433026223,
+      "grad_norm": 148.33827209472656,
+      "learning_rate": 9.938441702975689e-05,
+      "loss": 14.164,
+      "step": 29
+    },
+    {
+      "epoch": 0.021261516654854713,
+      "grad_norm": 169.3144073486328,
+      "learning_rate": 9.924038765061042e-05,
+      "loss": 14.034,
+      "step": 30
+    },
+    {
+      "epoch": 0.021970233876683204,
+      "grad_norm": 124.7219467163086,
+      "learning_rate": 9.908135917238321e-05,
+      "loss": 14.0114,
+      "step": 31
+    },
+    {
+      "epoch": 0.022678951098511695,
+      "grad_norm": 108.09959411621094,
+      "learning_rate": 9.890738003669029e-05,
+      "loss": 13.2608,
+      "step": 32
+    },
+    {
+      "epoch": 0.023387668320340185,
+      "grad_norm": 104.93000030517578,
+      "learning_rate": 9.871850323926177e-05,
+      "loss": 13.534,
+      "step": 33
+    },
+    {
+      "epoch": 0.024096385542168676,
+      "grad_norm": 166.08331298828125,
+      "learning_rate": 9.851478631379982e-05,
+      "loss": 14.0564,
+      "step": 34
+    },
+    {
+      "epoch": 0.024805102763997167,
+      "grad_norm": 155.267578125,
+      "learning_rate": 9.829629131445342e-05,
+      "loss": 13.8049,
+      "step": 35
+    },
+    {
+      "epoch": 0.025513819985825654,
+      "grad_norm": 131.83050537109375,
+      "learning_rate": 9.806308479691595e-05,
+      "loss": 13.1231,
+      "step": 36
+    },
+    {
+      "epoch": 0.026222537207654145,
+      "grad_norm": 138.0303955078125,
+      "learning_rate": 9.781523779815179e-05,
+      "loss": 13.7682,
+      "step": 37
+    },
+    {
+      "epoch": 0.026931254429482635,
+      "grad_norm": 299.477783203125,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 12.7123,
+      "step": 38
+    },
+    {
+      "epoch": 0.027639971651311126,
+      "grad_norm": 130.432861328125,
+      "learning_rate": 9.727592877996585e-05,
+      "loss": 14.1087,
+      "step": 39
+    },
+    {
+      "epoch": 0.028348688873139617,
+      "grad_norm": 182.9378662109375,
+      "learning_rate": 9.698463103929542e-05,
+      "loss": 13.272,
+      "step": 40
+    },
+    {
+      "epoch": 0.029057406094968107,
+      "grad_norm": 158.35543823242188,
+      "learning_rate": 9.667902132486009e-05,
+      "loss": 13.5757,
+      "step": 41
+    },
+    {
+      "epoch": 0.029766123316796598,
+      "grad_norm": 166.49728393554688,
+      "learning_rate": 9.635919272833938e-05,
+      "loss": 14.3021,
+      "step": 42
+    },
+    {
+      "epoch": 0.03047484053862509,
+      "grad_norm": 131.28465270996094,
+      "learning_rate": 9.602524267262203e-05,
+      "loss": 13.4972,
+      "step": 43
+    },
+    {
+      "epoch": 0.03118355776045358,
+      "grad_norm": 192.74923706054688,
+      "learning_rate": 9.567727288213005e-05,
+      "loss": 12.2334,
+      "step": 44
+    },
+    {
+      "epoch": 0.031892274982282066,
+      "grad_norm": 180.2285614013672,
+      "learning_rate": 9.53153893518325e-05,
+      "loss": 13.3882,
+      "step": 45
+    },
+    {
+      "epoch": 0.03260099220411056,
+      "grad_norm": 95.6063003540039,
+      "learning_rate": 9.493970231495835e-05,
+      "loss": 13.2489,
+      "step": 46
+    },
+    {
+      "epoch": 0.03330970942593905,
+      "grad_norm": 94.07921600341797,
+      "learning_rate": 9.45503262094184e-05,
+      "loss": 12.5815,
+      "step": 47
+    },
+    {
+      "epoch": 0.03401842664776754,
+      "grad_norm": 91.82530212402344,
+      "learning_rate": 9.414737964294636e-05,
+      "loss": 12.4597,
+      "step": 48
+    },
+    {
+      "epoch": 0.03472714386959603,
+      "grad_norm": 90.3814926147461,
+      "learning_rate": 9.373098535696979e-05,
+      "loss": 12.4542,
+      "step": 49
+    },
+    {
+      "epoch": 0.03543586109142452,
+      "grad_norm": 85.03922271728516,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 13.2257,
+      "step": 50
+    },
+    {
+      "epoch": 0.03543586109142452,
+      "eval_loss": 3.4021708965301514,
+      "eval_runtime": 41.4137,
+      "eval_samples_per_second": 57.396,
+      "eval_steps_per_second": 28.71,
+      "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": 3837377252425728.0,
+  "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 sha256:9a1802c4502344f81c5489e5cd4fe66cdcac20d0f6ac572aeaba183271369fc9
+size 6840