Upload folder using huggingface_hub

README.md

@@ -0,0 +1,238 @@
+---
+library_name: peft
+base_model: PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T
+---
+
+# 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]
+- **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 Data 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 Data 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]
+
+
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+
+### Framework versions
+
+
+- PEFT 0.7.0.dev0
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+
+### Framework versions
+
+
+- PEFT 0.7.0.dev0

adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "gate_proj",
+    "v_proj",
+    "down_proj",
+    "up_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2df365b52a6b4fff4c6eeef284864bc046d2557d38e14b839a1921da99990de3
+size 201962138

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ef53b7c5373aa9ef327a74a70939dce0d93633c85dceeea2837936794b82a3d
+size 201892112

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0b99eb6b8504c00207197fb2b1850447f75e73bd654c22c05eb09e171a102fb
+size 403891130

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:324a250af69cf5c17cf109999260159ffe2132b41e35af47f77e906974cd8f1c
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ced1bbbbd6439b37716ff72c4d2a98af0eeaed72dba8340a1ae4eb8f8b02ec40
+size 1064

special_tokens_map.json

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

tokenizer.model

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

tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "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": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

trainer_state.json

@@ -0,0 +1,619 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.9972041006523766,
+  "eval_steps": 500,
+  "global_step": 201,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.03,
+      "learning_rate": 5.7142857142857145e-06,
+      "loss": 2.2584,
+      "step": 2
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.1428571428571429e-05,
+      "loss": 1.676,
+      "step": 4
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.7142857142857142e-05,
+      "loss": 1.6463,
+      "step": 6
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9998688836656322e-05,
+      "loss": 1.584,
+      "step": 8
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.998820159279591e-05,
+      "loss": 1.4092,
+      "step": 10
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.9967238104745695e-05,
+      "loss": 1.7832,
+      "step": 12
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.993582036030978e-05,
+      "loss": 2.0932,
+      "step": 14
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.9893981312363563e-05,
+      "loss": 2.524,
+      "step": 16
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.9841764844290744e-05,
+      "loss": 1.9114,
+      "step": 18
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.977922572395571e-05,
+      "loss": 1.5524,
+      "step": 20
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.9706429546259592e-05,
+      "loss": 1.6035,
+      "step": 22
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.9623452664340305e-05,
+      "loss": 1.5664,
+      "step": 24
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.953038210948861e-05,
+      "loss": 1.6138,
+      "step": 26
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.9427315499864345e-05,
+      "loss": 1.9132,
+      "step": 28
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.9314360938108427e-05,
+      "loss": 2.2387,
+      "step": 30
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.9191636897958123e-05,
+      "loss": 2.4396,
+      "step": 32
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.905927209998447e-05,
+      "loss": 2.2283,
+      "step": 34
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 1.8917405376582144e-05,
+      "loss": 1.8121,
+      "step": 36
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 1.876618552635348e-05,
+      "loss": 1.552,
+      "step": 38
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 1.8605771158039253e-05,
+      "loss": 1.5683,
+      "step": 40
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 1.8436330524160048e-05,
+      "loss": 1.5337,
+      "step": 42
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 1.8258041344542567e-05,
+      "loss": 1.8445,
+      "step": 44
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 1.8071090619916095e-05,
+      "loss": 2.0517,
+      "step": 46
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 1.7875674435774546e-05,
+      "loss": 2.3032,
+      "step": 48
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 1.767199775670986e-05,
+      "loss": 2.3695,
+      "step": 50
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 1.7460274211432463e-05,
+      "loss": 1.611,
+      "step": 52
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7240725868704218e-05,
+      "loss": 1.4434,
+      "step": 54
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.7013583004418994e-05,
+      "loss": 1.6615,
+      "step": 56
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.6779083860075032e-05,
+      "loss": 1.5693,
+      "step": 58
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 1.6537474392892527e-05,
+      "loss": 1.5989,
+      "step": 60
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 1.6289008017838447e-05,
+      "loss": 1.8186,
+      "step": 62
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.603394534182925e-05,
+      "loss": 2.0993,
+      "step": 64
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5772553890390196e-05,
+      "loss": 1.5693,
+      "step": 66
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 1.5505107827058038e-05,
+      "loss": 2.1505,
+      "step": 68
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 1.52318876658213e-05,
+      "loss": 1.7584,
+      "step": 70
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 1.4953179976899878e-05,
+      "loss": 1.4229,
+      "step": 72
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 1.4669277086172406e-05,
+      "loss": 1.611,
+      "step": 74
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 1.4380476768566825e-05,
+      "loss": 1.4103,
+      "step": 76
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 1.4087081935735565e-05,
+      "loss": 1.4992,
+      "step": 78
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 1.378940031834307e-05,
+      "loss": 1.7046,
+      "step": 80
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 1.3487744143298822e-05,
+      "loss": 1.9403,
+      "step": 82
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 1.3182429806274442e-05,
+      "loss": 1.9072,
+      "step": 84
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 1.2873777539848284e-05,
+      "loss": 1.7842,
+      "step": 86
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 1.2562111077625723e-05,
+      "loss": 1.5809,
+      "step": 88
+    },
+    {
+      "epoch": 1.34,
+      "learning_rate": 1.2247757314687296e-05,
+      "loss": 1.4814,
+      "step": 90
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 1.1931045964720882e-05,
+      "loss": 1.4703,
+      "step": 92
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 1.1612309214197599e-05,
+      "loss": 1.4649,
+      "step": 94
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 1.1291881373954066e-05,
+      "loss": 1.6343,
+      "step": 96
+    },
+    {
+      "epoch": 1.46,
+      "learning_rate": 1.0970098528546482e-05,
+      "loss": 1.7428,
+      "step": 98
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 1.0647298183744359e-05,
+      "loss": 1.7637,
+      "step": 100
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 1.0323818912533561e-05,
+      "loss": 2.1005,
+      "step": 102
+    },
+    {
+      "epoch": 1.55,
+      "learning_rate": 1e-05,
+      "loss": 1.4387,
+      "step": 104
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 9.676181087466444e-06,
+      "loss": 1.422,
+      "step": 106
+    },
+    {
+      "epoch": 1.61,
+      "learning_rate": 9.352701816255643e-06,
+      "loss": 1.3836,
+      "step": 108
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 9.02990147145352e-06,
+      "loss": 1.2649,
+      "step": 110
+    },
+    {
+      "epoch": 1.67,
+      "learning_rate": 8.708118626045939e-06,
+      "loss": 1.5681,
+      "step": 112
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 8.387690785802403e-06,
+      "loss": 1.8252,
+      "step": 114
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 8.068954035279121e-06,
+      "loss": 1.8779,
+      "step": 116
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 7.752242685312709e-06,
+      "loss": 2.0095,
+      "step": 118
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 7.4378889223742766e-06,
+      "loss": 1.4449,
+      "step": 120
+    },
+    {
+      "epoch": 1.82,
+      "learning_rate": 7.126222460151719e-06,
+      "loss": 1.4738,
+      "step": 122
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 6.8175701937255645e-06,
+      "loss": 1.3797,
+      "step": 124
+    },
+    {
+      "epoch": 1.88,
+      "learning_rate": 6.5122558567011775e-06,
+      "loss": 1.3042,
+      "step": 126
+    },
+    {
+      "epoch": 1.91,
+      "learning_rate": 6.210599681656933e-06,
+      "loss": 1.5955,
+      "step": 128
+    },
+    {
+      "epoch": 1.94,
+      "learning_rate": 5.912918064264441e-06,
+      "loss": 1.7519,
+      "step": 130
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 5.619523231433177e-06,
+      "loss": 1.3313,
+      "step": 132
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 5.330722913827594e-06,
+      "loss": 1.5147,
+      "step": 134
+    },
+    {
+      "epoch": 2.03,
+      "learning_rate": 5.046820023100129e-06,
+      "loss": 2.0083,
+      "step": 136
+    },
+    {
+      "epoch": 2.06,
+      "learning_rate": 4.7681123341787e-06,
+      "loss": 1.4886,
+      "step": 138
+    },
+    {
+      "epoch": 2.09,
+      "learning_rate": 4.494892172941965e-06,
+      "loss": 1.4057,
+      "step": 140
+    },
+    {
+      "epoch": 2.12,
+      "learning_rate": 4.2274461096098085e-06,
+      "loss": 1.3837,
+      "step": 142
+    },
+    {
+      "epoch": 2.15,
+      "learning_rate": 3.966054658170754e-06,
+      "loss": 1.438,
+      "step": 144
+    },
+    {
+      "epoch": 2.18,
+      "learning_rate": 3.7109919821615546e-06,
+      "loss": 1.3849,
+      "step": 146
+    },
+    {
+      "epoch": 2.21,
+      "learning_rate": 3.4625256071074776e-06,
+      "loss": 1.5841,
+      "step": 148
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 3.2209161399249677e-06,
+      "loss": 1.4959,
+      "step": 150
+    },
+    {
+      "epoch": 2.27,
+      "learning_rate": 2.9864169955810085e-06,
+      "loss": 2.3643,
+      "step": 152
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 2.759274131295787e-06,
+      "loss": 1.6805,
+      "step": 154
+    },
+    {
+      "epoch": 2.33,
+      "learning_rate": 2.5397257885675396e-06,
+      "loss": 1.3571,
+      "step": 156
+    },
+    {
+      "epoch": 2.36,
+      "learning_rate": 2.328002243290138e-06,
+      "loss": 1.4686,
+      "step": 158
+    },
+    {
+      "epoch": 2.39,
+      "learning_rate": 2.124325564225458e-06,
+      "loss": 1.2663,
+      "step": 160
+    },
+    {
+      "epoch": 2.42,
+      "learning_rate": 1.9289093800839067e-06,
+      "loss": 1.4305,
+      "step": 162
+    },
+    {
+      "epoch": 2.45,
+      "learning_rate": 1.7419586554574364e-06,
+      "loss": 1.5805,
+      "step": 164
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 1.5636694758399563e-06,
+      "loss": 1.5783,
+      "step": 166
+    },
+    {
+      "epoch": 2.51,
+      "learning_rate": 1.3942288419607476e-06,
+      "loss": 2.0266,
+      "step": 168
+    },
+    {
+      "epoch": 2.53,
+      "learning_rate": 1.233814473646524e-06,
+      "loss": 1.4056,
+      "step": 170
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 1.0825946234178575e-06,
+      "loss": 1.3858,
+      "step": 172
+    },
+    {
+      "epoch": 2.59,
+      "learning_rate": 9.407279000155311e-07,
+      "loss": 1.5584,
+      "step": 174
+    },
+    {
+      "epoch": 2.62,
+      "learning_rate": 8.083631020418792e-07,
+      "loss": 1.2246,
+      "step": 176
+    },
+    {
+      "epoch": 2.65,
+      "learning_rate": 6.856390618915775e-07,
+      "loss": 1.3859,
+      "step": 178
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 5.726845001356573e-07,
+      "loss": 1.5712,
+      "step": 180
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 4.696178905113913e-07,
+      "loss": 1.6031,
+      "step": 182
+    },
+    {
+      "epoch": 2.74,
+      "learning_rate": 3.7654733565969826e-07,
+      "loss": 2.1996,
+      "step": 184
+    },
+    {
+      "epoch": 2.77,
+      "learning_rate": 2.935704537404083e-07,
+      "loss": 1.4927,
+      "step": 186
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 2.2077427604429435e-07,
+      "loss": 1.479,
+      "step": 188
+    },
+    {
+      "epoch": 2.83,
+      "learning_rate": 1.5823515570925763e-07,
+      "loss": 1.3484,
+      "step": 190
+    },
+    {
+      "epoch": 2.86,
+      "learning_rate": 1.0601868763643997e-07,
+      "loss": 1.1359,
+      "step": 192
+    },
+    {
+      "epoch": 2.89,
+      "learning_rate": 6.417963969022389e-08,
+      "loss": 1.5236,
+      "step": 194
+    },
+    {
+      "epoch": 2.92,
+      "learning_rate": 3.2761895254306285e-08,
+      "loss": 1.6316,
+      "step": 196
+    },
+    {
+      "epoch": 2.95,
+      "learning_rate": 1.179840720409331e-08,
+      "loss": 1.5152,
+      "step": 198
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 1.3111633436779792e-09,
+      "loss": 1.2889,
+      "step": 200
+    }
+  ],
+  "logging_steps": 2,
+  "max_steps": 201,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 1.1940452642598912e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4222fdda011882694e381469f5aa6f44e0bf8795b4c9520740f8a560a40bdbaa
+size 4600