Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: meta-llama/Meta-Llama-3-8B
+---
+
+# 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 0.8.2

adapter_config.json

@@ -0,0 +1,32 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B",
+  "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": 256,
+  "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": [
+    "up_proj",
+    "k_proj",
+    "q_proj",
+    "gate_proj",
+    "v_proj",
+    "o_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfd26b9c6634758a837071beedb12bfb12a83b48d806deec08e4e3616d89a999
+size 671149168

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f52d783370631c242206bcf802834c5d6adab9d87b1d2de44609ffab813e3e6
+size 1342555602

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:606651ee321efa71bd93e7bce04ce0daa00a27912f326afc4323af8feeb34222
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9264d8cdc8138f69f536e7fa3a7a5c21eed01e21c6a304f85655d61ce8842874
+size 1064

trainer_state.json

@@ -0,0 +1,613 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.868411617067049,
+  "eval_steps": 2000,
+  "global_step": 8000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.04,
+      "grad_norm": 2.6817848682403564,
+      "learning_rate": 1e-06,
+      "loss": 1.077,
+      "step": 100
+    },
+    {
+      "epoch": 0.07,
+      "grad_norm": 3.5721559524536133,
+      "learning_rate": 9.898989898989898e-07,
+      "loss": 0.8347,
+      "step": 200
+    },
+    {
+      "epoch": 0.11,
+      "grad_norm": 4.235135078430176,
+      "learning_rate": 9.7989898989899e-07,
+      "loss": 0.6862,
+      "step": 300
+    },
+    {
+      "epoch": 0.14,
+      "grad_norm": 2.8351337909698486,
+      "learning_rate": 9.697979797979798e-07,
+      "loss": 0.666,
+      "step": 400
+    },
+    {
+      "epoch": 0.18,
+      "grad_norm": 4.0803093910217285,
+      "learning_rate": 9.598989898989899e-07,
+      "loss": 0.6536,
+      "step": 500
+    },
+    {
+      "epoch": 0.22,
+      "grad_norm": 3.8616509437561035,
+      "learning_rate": 9.497979797979798e-07,
+      "loss": 0.6579,
+      "step": 600
+    },
+    {
+      "epoch": 0.25,
+      "grad_norm": 3.376267194747925,
+      "learning_rate": 9.396969696969696e-07,
+      "loss": 0.6223,
+      "step": 700
+    },
+    {
+      "epoch": 0.29,
+      "grad_norm": 3.7751758098602295,
+      "learning_rate": 9.295959595959596e-07,
+      "loss": 0.6141,
+      "step": 800
+    },
+    {
+      "epoch": 0.32,
+      "grad_norm": 3.669135093688965,
+      "learning_rate": 9.194949494949495e-07,
+      "loss": 0.627,
+      "step": 900
+    },
+    {
+      "epoch": 0.36,
+      "grad_norm": 3.837573528289795,
+      "learning_rate": 9.093939393939394e-07,
+      "loss": 0.6309,
+      "step": 1000
+    },
+    {
+      "epoch": 0.39,
+      "grad_norm": 3.461555242538452,
+      "learning_rate": 8.992929292929292e-07,
+      "loss": 0.6138,
+      "step": 1100
+    },
+    {
+      "epoch": 0.43,
+      "grad_norm": 2.907550573348999,
+      "learning_rate": 8.891919191919191e-07,
+      "loss": 0.6367,
+      "step": 1200
+    },
+    {
+      "epoch": 0.47,
+      "grad_norm": 5.007347106933594,
+      "learning_rate": 8.790909090909091e-07,
+      "loss": 0.6444,
+      "step": 1300
+    },
+    {
+      "epoch": 0.5,
+      "grad_norm": 4.709310054779053,
+      "learning_rate": 8.68989898989899e-07,
+      "loss": 0.6418,
+      "step": 1400
+    },
+    {
+      "epoch": 0.54,
+      "grad_norm": 2.976135730743408,
+      "learning_rate": 8.588888888888888e-07,
+      "loss": 0.6572,
+      "step": 1500
+    },
+    {
+      "epoch": 0.57,
+      "grad_norm": 2.4408750534057617,
+      "learning_rate": 8.487878787878787e-07,
+      "loss": 0.6347,
+      "step": 1600
+    },
+    {
+      "epoch": 0.61,
+      "grad_norm": 4.144632816314697,
+      "learning_rate": 8.386868686868687e-07,
+      "loss": 0.6001,
+      "step": 1700
+    },
+    {
+      "epoch": 0.65,
+      "grad_norm": 3.0854594707489014,
+      "learning_rate": 8.285858585858585e-07,
+      "loss": 0.6446,
+      "step": 1800
+    },
+    {
+      "epoch": 0.68,
+      "grad_norm": 4.574347496032715,
+      "learning_rate": 8.185858585858586e-07,
+      "loss": 0.6206,
+      "step": 1900
+    },
+    {
+      "epoch": 0.72,
+      "grad_norm": 4.453900337219238,
+      "learning_rate": 8.084848484848484e-07,
+      "loss": 0.6555,
+      "step": 2000
+    },
+    {
+      "epoch": 0.72,
+      "eval_loss": 0.7467872500419617,
+      "eval_runtime": 199.2545,
+      "eval_samples_per_second": 5.019,
+      "eval_steps_per_second": 1.255,
+      "step": 2000
+    },
+    {
+      "epoch": 0.75,
+      "grad_norm": 4.515957832336426,
+      "learning_rate": 7.983838383838384e-07,
+      "loss": 0.6001,
+      "step": 2100
+    },
+    {
+      "epoch": 0.79,
+      "grad_norm": 5.094139099121094,
+      "learning_rate": 7.882828282828282e-07,
+      "loss": 0.5989,
+      "step": 2200
+    },
+    {
+      "epoch": 0.82,
+      "grad_norm": 3.6258816719055176,
+      "learning_rate": 7.781818181818182e-07,
+      "loss": 0.5893,
+      "step": 2300
+    },
+    {
+      "epoch": 0.86,
+      "grad_norm": 3.713240385055542,
+      "learning_rate": 7.68080808080808e-07,
+      "loss": 0.5944,
+      "step": 2400
+    },
+    {
+      "epoch": 0.9,
+      "grad_norm": 2.879484176635742,
+      "learning_rate": 7.579797979797979e-07,
+      "loss": 0.6098,
+      "step": 2500
+    },
+    {
+      "epoch": 0.93,
+      "grad_norm": 6.193981170654297,
+      "learning_rate": 7.478787878787879e-07,
+      "loss": 0.6232,
+      "step": 2600
+    },
+    {
+      "epoch": 0.97,
+      "grad_norm": 5.713097095489502,
+      "learning_rate": 7.377777777777777e-07,
+      "loss": 0.5912,
+      "step": 2700
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 4.410184383392334,
+      "learning_rate": 7.276767676767677e-07,
+      "loss": 0.6023,
+      "step": 2800
+    },
+    {
+      "epoch": 1.04,
+      "grad_norm": 5.159379005432129,
+      "learning_rate": 7.175757575757575e-07,
+      "loss": 0.6148,
+      "step": 2900
+    },
+    {
+      "epoch": 1.08,
+      "grad_norm": 4.885188102722168,
+      "learning_rate": 7.074747474747474e-07,
+      "loss": 0.5715,
+      "step": 3000
+    },
+    {
+      "epoch": 1.11,
+      "grad_norm": 2.8274130821228027,
+      "learning_rate": 6.973737373737374e-07,
+      "loss": 0.5843,
+      "step": 3100
+    },
+    {
+      "epoch": 1.15,
+      "grad_norm": 4.313437461853027,
+      "learning_rate": 6.872727272727273e-07,
+      "loss": 0.5781,
+      "step": 3200
+    },
+    {
+      "epoch": 1.18,
+      "grad_norm": 3.335306167602539,
+      "learning_rate": 6.771717171717171e-07,
+      "loss": 0.5875,
+      "step": 3300
+    },
+    {
+      "epoch": 1.22,
+      "grad_norm": 3.799851417541504,
+      "learning_rate": 6.67070707070707e-07,
+      "loss": 0.5903,
+      "step": 3400
+    },
+    {
+      "epoch": 1.25,
+      "grad_norm": 5.783286094665527,
+      "learning_rate": 6.56969696969697e-07,
+      "loss": 0.591,
+      "step": 3500
+    },
+    {
+      "epoch": 1.29,
+      "grad_norm": 2.4970409870147705,
+      "learning_rate": 6.468686868686868e-07,
+      "loss": 0.576,
+      "step": 3600
+    },
+    {
+      "epoch": 1.33,
+      "grad_norm": 3.698167562484741,
+      "learning_rate": 6.367676767676767e-07,
+      "loss": 0.5971,
+      "step": 3700
+    },
+    {
+      "epoch": 1.36,
+      "grad_norm": 5.005897521972656,
+      "learning_rate": 6.266666666666667e-07,
+      "loss": 0.5847,
+      "step": 3800
+    },
+    {
+      "epoch": 1.4,
+      "grad_norm": 4.98276424407959,
+      "learning_rate": 6.165656565656565e-07,
+      "loss": 0.6004,
+      "step": 3900
+    },
+    {
+      "epoch": 1.43,
+      "grad_norm": 4.1894402503967285,
+      "learning_rate": 6.064646464646465e-07,
+      "loss": 0.594,
+      "step": 4000
+    },
+    {
+      "epoch": 1.43,
+      "eval_loss": 0.7255015969276428,
+      "eval_runtime": 204.1006,
+      "eval_samples_per_second": 4.9,
+      "eval_steps_per_second": 1.225,
+      "step": 4000
+    },
+    {
+      "epoch": 1.47,
+      "grad_norm": 4.014637470245361,
+      "learning_rate": 5.963636363636363e-07,
+      "loss": 0.6014,
+      "step": 4100
+    },
+    {
+      "epoch": 1.51,
+      "grad_norm": 4.055298805236816,
+      "learning_rate": 5.862626262626262e-07,
+      "loss": 0.575,
+      "step": 4200
+    },
+    {
+      "epoch": 1.54,
+      "grad_norm": 3.810657262802124,
+      "learning_rate": 5.761616161616162e-07,
+      "loss": 0.5879,
+      "step": 4300
+    },
+    {
+      "epoch": 1.58,
+      "grad_norm": 2.8757894039154053,
+      "learning_rate": 5.660606060606061e-07,
+      "loss": 0.5864,
+      "step": 4400
+    },
+    {
+      "epoch": 1.61,
+      "grad_norm": 5.22218132019043,
+      "learning_rate": 5.559595959595959e-07,
+      "loss": 0.5881,
+      "step": 4500
+    },
+    {
+      "epoch": 1.65,
+      "grad_norm": 4.59492826461792,
+      "learning_rate": 5.458585858585858e-07,
+      "loss": 0.5628,
+      "step": 4600
+    },
+    {
+      "epoch": 1.69,
+      "grad_norm": 4.455421447753906,
+      "learning_rate": 5.357575757575758e-07,
+      "loss": 0.6008,
+      "step": 4700
+    },
+    {
+      "epoch": 1.72,
+      "grad_norm": 4.579429626464844,
+      "learning_rate": 5.256565656565657e-07,
+      "loss": 0.5957,
+      "step": 4800
+    },
+    {
+      "epoch": 1.76,
+      "grad_norm": 5.034527778625488,
+      "learning_rate": 5.155555555555555e-07,
+      "loss": 0.556,
+      "step": 4900
+    },
+    {
+      "epoch": 1.79,
+      "grad_norm": 6.71533203125,
+      "learning_rate": 5.054545454545454e-07,
+      "loss": 0.5811,
+      "step": 5000
+    },
+    {
+      "epoch": 1.83,
+      "grad_norm": 3.7940480709075928,
+      "learning_rate": 4.953535353535353e-07,
+      "loss": 0.5907,
+      "step": 5100
+    },
+    {
+      "epoch": 1.86,
+      "grad_norm": 4.488739013671875,
+      "learning_rate": 4.852525252525253e-07,
+      "loss": 0.5975,
+      "step": 5200
+    },
+    {
+      "epoch": 1.9,
+      "grad_norm": 4.032153129577637,
+      "learning_rate": 4.7515151515151514e-07,
+      "loss": 0.5771,
+      "step": 5300
+    },
+    {
+      "epoch": 1.94,
+      "grad_norm": 4.4360504150390625,
+      "learning_rate": 4.65050505050505e-07,
+      "loss": 0.5625,
+      "step": 5400
+    },
+    {
+      "epoch": 1.97,
+      "grad_norm": 4.770937919616699,
+      "learning_rate": 4.549494949494949e-07,
+      "loss": 0.5647,
+      "step": 5500
+    },
+    {
+      "epoch": 2.01,
+      "grad_norm": 4.940979957580566,
+      "learning_rate": 4.448484848484848e-07,
+      "loss": 0.5871,
+      "step": 5600
+    },
+    {
+      "epoch": 2.04,
+      "grad_norm": 3.6415045261383057,
+      "learning_rate": 4.3474747474747475e-07,
+      "loss": 0.5615,
+      "step": 5700
+    },
+    {
+      "epoch": 2.08,
+      "grad_norm": 5.734036922454834,
+      "learning_rate": 4.246464646464646e-07,
+      "loss": 0.5491,
+      "step": 5800
+    },
+    {
+      "epoch": 2.12,
+      "grad_norm": 7.926692008972168,
+      "learning_rate": 4.1454545454545453e-07,
+      "loss": 0.5602,
+      "step": 5900
+    },
+    {
+      "epoch": 2.15,
+      "grad_norm": 3.576627492904663,
+      "learning_rate": 4.044444444444444e-07,
+      "loss": 0.596,
+      "step": 6000
+    },
+    {
+      "epoch": 2.15,
+      "eval_loss": 0.7305542826652527,
+      "eval_runtime": 199.7984,
+      "eval_samples_per_second": 5.005,
+      "eval_steps_per_second": 1.251,
+      "step": 6000
+    },
+    {
+      "epoch": 2.19,
+      "grad_norm": 5.2710347175598145,
+      "learning_rate": 3.943434343434343e-07,
+      "loss": 0.558,
+      "step": 6100
+    },
+    {
+      "epoch": 2.22,
+      "grad_norm": 6.788084030151367,
+      "learning_rate": 3.8424242424242423e-07,
+      "loss": 0.5531,
+      "step": 6200
+    },
+    {
+      "epoch": 2.26,
+      "grad_norm": 5.253055572509766,
+      "learning_rate": 3.7414141414141414e-07,
+      "loss": 0.5767,
+      "step": 6300
+    },
+    {
+      "epoch": 2.29,
+      "grad_norm": 5.5620341300964355,
+      "learning_rate": 3.6414141414141413e-07,
+      "loss": 0.5362,
+      "step": 6400
+    },
+    {
+      "epoch": 2.33,
+      "grad_norm": 5.042788505554199,
+      "learning_rate": 3.5404040404040405e-07,
+      "loss": 0.5863,
+      "step": 6500
+    },
+    {
+      "epoch": 2.37,
+      "grad_norm": 4.5857415199279785,
+      "learning_rate": 3.439393939393939e-07,
+      "loss": 0.5759,
+      "step": 6600
+    },
+    {
+      "epoch": 2.4,
+      "grad_norm": 5.151732444763184,
+      "learning_rate": 3.3383838383838383e-07,
+      "loss": 0.5481,
+      "step": 6700
+    },
+    {
+      "epoch": 2.44,
+      "grad_norm": 4.4784393310546875,
+      "learning_rate": 3.237373737373737e-07,
+      "loss": 0.5686,
+      "step": 6800
+    },
+    {
+      "epoch": 2.47,
+      "grad_norm": 5.631476879119873,
+      "learning_rate": 3.1363636363636366e-07,
+      "loss": 0.5803,
+      "step": 6900
+    },
+    {
+      "epoch": 2.51,
+      "grad_norm": 6.012638092041016,
+      "learning_rate": 3.035353535353535e-07,
+      "loss": 0.5937,
+      "step": 7000
+    },
+    {
+      "epoch": 2.55,
+      "grad_norm": 5.126097202301025,
+      "learning_rate": 2.9343434343434344e-07,
+      "loss": 0.57,
+      "step": 7100
+    },
+    {
+      "epoch": 2.58,
+      "grad_norm": 6.094301700592041,
+      "learning_rate": 2.833333333333333e-07,
+      "loss": 0.5468,
+      "step": 7200
+    },
+    {
+      "epoch": 2.62,
+      "grad_norm": 5.276275634765625,
+      "learning_rate": 2.732323232323232e-07,
+      "loss": 0.5411,
+      "step": 7300
+    },
+    {
+      "epoch": 2.65,
+      "grad_norm": 5.292468547821045,
+      "learning_rate": 2.631313131313131e-07,
+      "loss": 0.5579,
+      "step": 7400
+    },
+    {
+      "epoch": 2.69,
+      "grad_norm": 5.443357944488525,
+      "learning_rate": 2.5303030303030305e-07,
+      "loss": 0.5844,
+      "step": 7500
+    },
+    {
+      "epoch": 2.72,
+      "grad_norm": 5.82540225982666,
+      "learning_rate": 2.429292929292929e-07,
+      "loss": 0.5693,
+      "step": 7600
+    },
+    {
+      "epoch": 2.76,
+      "grad_norm": 4.729764938354492,
+      "learning_rate": 2.3282828282828283e-07,
+      "loss": 0.5705,
+      "step": 7700
+    },
+    {
+      "epoch": 2.8,
+      "grad_norm": 5.492878437042236,
+      "learning_rate": 2.2272727272727272e-07,
+      "loss": 0.5694,
+      "step": 7800
+    },
+    {
+      "epoch": 2.83,
+      "grad_norm": 5.059893608093262,
+      "learning_rate": 2.1262626262626264e-07,
+      "loss": 0.5543,
+      "step": 7900
+    },
+    {
+      "epoch": 2.87,
+      "grad_norm": 5.176052093505859,
+      "learning_rate": 2.0252525252525253e-07,
+      "loss": 0.5411,
+      "step": 8000
+    },
+    {
+      "epoch": 2.87,
+      "eval_loss": 0.725495457649231,
+      "eval_runtime": 564.5599,
+      "eval_samples_per_second": 1.771,
+      "eval_steps_per_second": 0.443,
+      "step": 8000
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 10000,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 2000,
+  "total_flos": 7.541625072742564e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef493be7453ecb990faadc17bfb66043fbb025d401d4788edd1e01a1b4be3fab
+size 4856