Upload 14 files

model/checkpoint-700/README.md

@@ -0,0 +1,204 @@
+---
+library_name: peft
+base_model: microsoft/phi-2
+---
+
+# 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 0.7.1

model/checkpoint-700/adapter_config.json

@@ -0,0 +1,30 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/phi-2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "fc1",
+    "v_proj",
+    "k_proj",
+    "fc2",
+    "dense",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

model/checkpoint-700/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca7505fd53b07f28ef1367a7e658e3649f02a4a7a6ea0b98d25bcacfc627d46f
+size 377538512

model/checkpoint-700/added_tokens.json

@@ -0,0 +1,40 @@
+{
+  "\t\t": 50294,
+  "\t\t\t": 50293,
+  "\t\t\t\t": 50292,
+  "\t\t\t\t\t": 50291,
+  "\t\t\t\t\t\t": 50290,
+  "\t\t\t\t\t\t\t": 50289,
+  "\t\t\t\t\t\t\t\t": 50288,
+  "\t\t\t\t\t\t\t\t\t": 50287,
+  "  ": 50286,
+  "   ": 50285,
+  "    ": 50284,
+  "     ": 50283,
+  "      ": 50282,
+  "       ": 50281,
+  "        ": 50280,
+  "         ": 50279,
+  "          ": 50278,
+  "           ": 50277,
+  "            ": 50276,
+  "             ": 50275,
+  "              ": 50274,
+  "               ": 50273,
+  "                ": 50272,
+  "                 ": 50271,
+  "                  ": 50270,
+  "                   ": 50269,
+  "                    ": 50268,
+  "                     ": 50267,
+  "                      ": 50266,
+  "                       ": 50265,
+  "                        ": 50264,
+  "                         ": 50263,
+  "                          ": 50262,
+  "                           ": 50261,
+  "                            ": 50260,
+  "                             ": 50259,
+  "                              ": 50258,
+  "                               ": 50257
+}

model/checkpoint-700/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83f109534353fc495e0c9c5ceb645ffd86c39530639a3336677924600d90aadb
+size 755212730

model/checkpoint-700/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:088278c68d5cfb9bd131531d2cc766a97397c94b956f0ea4d45d5acc189d4632
+size 14244

model/checkpoint-700/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29b956a233cae8e71e6a35696b04ca41104cbd5e983f012c5f848e37e99f565e
+size 1064

model/checkpoint-700/special_tokens_map.json

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

model/checkpoint-700/tokenizer_config.json

@@ -0,0 +1,324 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "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": "           ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50278": {
+      "content": "          ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50279": {
+      "content": "         ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50280": {
+      "content": "        ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50281": {
+      "content": "       ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50282": {
+      "content": "      ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50283": {
+      "content": "     ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50284": {
+      "content": "    ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50285": {
+      "content": "   ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50286": {
+      "content": "  ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50287": {
+      "content": "\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50288": {
+      "content": "\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50289": {
+      "content": "\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50290": {
+      "content": "\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50291": {
+      "content": "\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50292": {
+      "content": "\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50293": {
+      "content": "\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50294": {
+      "content": "\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 2048,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CodeGenTokenizer",
+  "unk_token": "<|endoftext|>"
+}

model/checkpoint-700/trainer_state.json

@@ -0,0 +1,441 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.6231916314266637,
+  "eval_steps": 500,
+  "global_step": 700,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.714285714285714e-05,
+      "loss": 1.8085,
+      "step": 10
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00011428571428571428,
+      "loss": 1.7606,
+      "step": 20
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.00017142857142857143,
+      "loss": 1.6345,
+      "step": 30
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.00019849624060150375,
+      "loss": 1.664,
+      "step": 40
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.00019548872180451127,
+      "loss": 1.6428,
+      "step": 50
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0001924812030075188,
+      "loss": 1.5237,
+      "step": 60
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.00018947368421052632,
+      "loss": 1.5082,
+      "step": 70
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.00018646616541353382,
+      "loss": 1.694,
+      "step": 80
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.00018345864661654135,
+      "loss": 1.6321,
+      "step": 90
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.00018045112781954887,
+      "loss": 1.5199,
+      "step": 100
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0001774436090225564,
+      "loss": 1.7026,
+      "step": 110
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0001744360902255639,
+      "loss": 1.5724,
+      "step": 120
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.00017142857142857143,
+      "loss": 1.4935,
+      "step": 130
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.00016842105263157895,
+      "loss": 1.5579,
+      "step": 140
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.00016541353383458648,
+      "loss": 1.6602,
+      "step": 150
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.00016240601503759398,
+      "loss": 1.5814,
+      "step": 160
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0001593984962406015,
+      "loss": 1.616,
+      "step": 170
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.00015639097744360903,
+      "loss": 1.6055,
+      "step": 180
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.00015338345864661653,
+      "loss": 1.5963,
+      "step": 190
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.00015037593984962405,
+      "loss": 1.6005,
+      "step": 200
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.00014736842105263158,
+      "loss": 1.5769,
+      "step": 210
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0001443609022556391,
+      "loss": 1.6057,
+      "step": 220
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0001413533834586466,
+      "loss": 1.709,
+      "step": 230
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.00013834586466165413,
+      "loss": 1.5989,
+      "step": 240
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.00013533834586466166,
+      "loss": 1.6576,
+      "step": 250
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.00013233082706766918,
+      "loss": 1.5385,
+      "step": 260
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.00012932330827067668,
+      "loss": 1.619,
+      "step": 270
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0001263157894736842,
+      "loss": 1.6631,
+      "step": 280
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.00012330827067669173,
+      "loss": 1.6022,
+      "step": 290
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.00012030075187969925,
+      "loss": 1.6231,
+      "step": 300
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.00011729323308270677,
+      "loss": 1.5023,
+      "step": 310
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.00011428571428571428,
+      "loss": 1.5684,
+      "step": 320
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.00011127819548872181,
+      "loss": 1.6515,
+      "step": 330
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.00010827067669172932,
+      "loss": 1.6682,
+      "step": 340
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.00010526315789473685,
+      "loss": 1.5771,
+      "step": 350
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.00010225563909774436,
+      "loss": 1.5655,
+      "step": 360
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 9.924812030075187e-05,
+      "loss": 1.4955,
+      "step": 370
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 9.62406015037594e-05,
+      "loss": 1.4906,
+      "step": 380
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 9.323308270676691e-05,
+      "loss": 1.6052,
+      "step": 390
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 9.022556390977444e-05,
+      "loss": 1.4459,
+      "step": 400
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 8.721804511278195e-05,
+      "loss": 1.6429,
+      "step": 410
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 8.421052631578948e-05,
+      "loss": 1.5496,
+      "step": 420
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 8.120300751879699e-05,
+      "loss": 1.607,
+      "step": 430
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 7.819548872180451e-05,
+      "loss": 1.5961,
+      "step": 440
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 7.518796992481203e-05,
+      "loss": 1.5152,
+      "step": 450
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 7.218045112781955e-05,
+      "loss": 1.5446,
+      "step": 460
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 6.917293233082706e-05,
+      "loss": 1.5602,
+      "step": 470
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 6.616541353383459e-05,
+      "loss": 1.54,
+      "step": 480
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 6.31578947368421e-05,
+      "loss": 1.5428,
+      "step": 490
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 6.015037593984962e-05,
+      "loss": 1.6062,
+      "step": 500
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 5.714285714285714e-05,
+      "loss": 1.5338,
+      "step": 510
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 5.413533834586466e-05,
+      "loss": 1.6205,
+      "step": 520
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 5.112781954887218e-05,
+      "loss": 1.4387,
+      "step": 530
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 4.81203007518797e-05,
+      "loss": 1.6373,
+      "step": 540
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 4.511278195488722e-05,
+      "loss": 1.6423,
+      "step": 550
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 4.210526315789474e-05,
+      "loss": 1.5951,
+      "step": 560
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 3.909774436090226e-05,
+      "loss": 1.5936,
+      "step": 570
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 3.6090225563909776e-05,
+      "loss": 1.5746,
+      "step": 580
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 3.3082706766917295e-05,
+      "loss": 1.6218,
+      "step": 590
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 3.007518796992481e-05,
+      "loss": 1.5793,
+      "step": 600
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 2.706766917293233e-05,
+      "loss": 1.5672,
+      "step": 610
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 2.406015037593985e-05,
+      "loss": 1.6842,
+      "step": 620
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 2.105263157894737e-05,
+      "loss": 1.6824,
+      "step": 630
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 1.8045112781954888e-05,
+      "loss": 1.5631,
+      "step": 640
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 1.5037593984962406e-05,
+      "loss": 1.6411,
+      "step": 650
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 1.2030075187969925e-05,
+      "loss": 1.4979,
+      "step": 660
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 9.022556390977444e-06,
+      "loss": 1.4032,
+      "step": 670
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.015037593984962e-06,
+      "loss": 1.6119,
+      "step": 680
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 3.007518796992481e-06,
+      "loss": 1.617,
+      "step": 690
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0,
+      "loss": 1.6137,
+      "step": 700
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 700,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 100,
+  "total_flos": 8.443226341920768e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

model/checkpoint-700/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd128c0087c69939199a247ba0020d6b08965a830057c38b74ddb28b9525cd0d
+size 4664