Upload folder using huggingface_hub

checkpoint-140/README.md

@@ -0,0 +1,204 @@
+---
+library_name: peft
+base_model: Chat-Error/IWasDointCrystalMethOnTheKitchenButThenMomWalkedIn-NeuralHermesStripedCapybara-Mistral-11B-SLERP
+---
+
+# 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

checkpoint-140/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Chat-Error/IWasDointCrystalMethOnTheKitchenButThenMomWalkedIn-NeuralHermesStripedCapybara-Mistral-11B-SLERP",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "gate_proj",
+    "k_proj",
+    "q_proj",
+    "v_proj",
+    "o_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

checkpoint-140/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75aa8d4d022a9bcefabe3d49ce2282557024b0f697c141bd67d9efb8621d1c4f
+size 335604696

checkpoint-140/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb67c29a1ce918053d0f7dd89fae7e761233ff3c2bab4be8773ce43510e29ddb
+size 168624724

checkpoint-140/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a79952db7e768500ee9aa436c0dd57dd33764c943d50a3b5039d1e2631dc6ee3
+size 14244

checkpoint-140/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8fc033fa2ad65f824e8eb9c0dac8307833c47001041c1375b8a69f579ef5654f
+size 1064

checkpoint-140/trainer_state.json

@@ -0,0 +1,861 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.6256983240223464,
+  "eval_steps": 500,
+  "global_step": 140,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.000000000000001e-07,
+      "loss": 1.5526,
+      "step": 1
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 1.0000000000000002e-06,
+      "loss": 1.6607,
+      "step": 2
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 1.5e-06,
+      "loss": 1.372,
+      "step": 3
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 2.0000000000000003e-06,
+      "loss": 1.4931,
+      "step": 4
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 2.5e-06,
+      "loss": 1.5619,
+      "step": 5
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 3e-06,
+      "loss": 1.718,
+      "step": 6
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 3.5e-06,
+      "loss": 1.4011,
+      "step": 7
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 4.000000000000001e-06,
+      "loss": 1.6706,
+      "step": 8
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 4.5e-06,
+      "loss": 1.5431,
+      "step": 9
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 5e-06,
+      "loss": 1.6866,
+      "step": 10
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 4.999971592166969e-06,
+      "loss": 1.3485,
+      "step": 11
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 4.999886369313478e-06,
+      "loss": 1.6039,
+      "step": 12
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 4.999744333376324e-06,
+      "loss": 1.6092,
+      "step": 13
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 4.999545487583456e-06,
+      "loss": 1.4041,
+      "step": 14
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 4.999289836453894e-06,
+      "loss": 1.2342,
+      "step": 15
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 4.998977385797635e-06,
+      "loss": 1.5679,
+      "step": 16
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 4.998608142715515e-06,
+      "loss": 1.5122,
+      "step": 17
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 4.998182115599052e-06,
+      "loss": 1.7621,
+      "step": 18
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 4.99769931413025e-06,
+      "loss": 1.4677,
+      "step": 19
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 4.997159749281385e-06,
+      "loss": 1.4017,
+      "step": 20
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 4.996563433314751e-06,
+      "loss": 1.5041,
+      "step": 21
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 4.9959103797823835e-06,
+      "loss": 1.7749,
+      "step": 22
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 4.995200603525752e-06,
+      "loss": 1.5217,
+      "step": 23
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 4.99443412067542e-06,
+      "loss": 1.5351,
+      "step": 24
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 4.993610948650681e-06,
+      "loss": 1.6509,
+      "step": 25
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 4.992731106159161e-06,
+      "loss": 1.3234,
+      "step": 26
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 4.9917946131963965e-06,
+      "loss": 1.5587,
+      "step": 27
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 4.990801491045376e-06,
+      "loss": 1.5141,
+      "step": 28
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 4.989751762276056e-06,
+      "loss": 1.3626,
+      "step": 29
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 4.988645450744855e-06,
+      "loss": 1.413,
+      "step": 30
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 4.987482581594101e-06,
+      "loss": 1.5925,
+      "step": 31
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 4.98626318125147e-06,
+      "loss": 1.6128,
+      "step": 32
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 4.984987277429377e-06,
+      "loss": 1.5369,
+      "step": 33
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 4.983654899124355e-06,
+      "loss": 1.4611,
+      "step": 34
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 4.982266076616386e-06,
+      "loss": 1.3973,
+      "step": 35
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 4.9808208414682215e-06,
+      "loss": 1.6418,
+      "step": 36
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 4.979319226524661e-06,
+      "loss": 1.5317,
+      "step": 37
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 4.9777612659118034e-06,
+      "loss": 1.3446,
+      "step": 38
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 4.976146995036279e-06,
+      "loss": 1.6594,
+      "step": 39
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 4.974476450584438e-06,
+      "loss": 1.3303,
+      "step": 40
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 4.972749670521517e-06,
+      "loss": 1.391,
+      "step": 41
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 4.970966694090781e-06,
+      "loss": 1.5491,
+      "step": 42
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 4.969127561812626e-06,
+      "loss": 1.7895,
+      "step": 43
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 4.967232315483664e-06,
+      "loss": 1.3842,
+      "step": 44
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 4.965280998175767e-06,
+      "loss": 1.3015,
+      "step": 45
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 4.963273654235092e-06,
+      "loss": 1.5276,
+      "step": 46
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 4.961210329281072e-06,
+      "loss": 1.3836,
+      "step": 47
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 4.959091070205381e-06,
+      "loss": 1.3379,
+      "step": 48
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 4.9569159251708635e-06,
+      "loss": 1.385,
+      "step": 49
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 4.954684943610446e-06,
+      "loss": 1.4117,
+      "step": 50
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 4.95239817622601e-06,
+      "loss": 1.5684,
+      "step": 51
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 4.95005567498724e-06,
+      "loss": 1.4568,
+      "step": 52
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 4.947657493130443e-06,
+      "loss": 1.4549,
+      "step": 53
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 4.945203685157339e-06,
+      "loss": 1.4898,
+      "step": 54
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 4.942694306833823e-06,
+      "loss": 1.3103,
+      "step": 55
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 4.940129415188693e-06,
+      "loss": 1.5988,
+      "step": 56
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 4.937509068512362e-06,
+      "loss": 1.607,
+      "step": 57
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 4.934833326355525e-06,
+      "loss": 1.5436,
+      "step": 58
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 4.932102249527812e-06,
+      "loss": 1.5437,
+      "step": 59
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 4.929315900096403e-06,
+      "loss": 1.2806,
+      "step": 60
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 4.9264743413846175e-06,
+      "loss": 1.7067,
+      "step": 61
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 4.923577637970475e-06,
+      "loss": 1.4578,
+      "step": 62
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 4.920625855685229e-06,
+      "loss": 1.4264,
+      "step": 63
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 4.917619061611871e-06,
+      "loss": 1.376,
+      "step": 64
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 4.914557324083604e-06,
+      "loss": 1.5883,
+      "step": 65
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 4.91144071268229e-06,
+      "loss": 1.5123,
+      "step": 66
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 4.908269298236871e-06,
+      "loss": 1.5713,
+      "step": 67
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 4.905043152821757e-06,
+      "loss": 1.7112,
+      "step": 68
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 4.9017623497551865e-06,
+      "loss": 1.4226,
+      "step": 69
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 4.898426963597566e-06,
+      "loss": 1.5532,
+      "step": 70
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 4.895037070149769e-06,
+      "loss": 1.3635,
+      "step": 71
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 4.8915927464514165e-06,
+      "loss": 1.4806,
+      "step": 72
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 4.888094070779127e-06,
+      "loss": 1.5378,
+      "step": 73
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 4.884541122644737e-06,
+      "loss": 1.5027,
+      "step": 74
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 4.880933982793491e-06,
+      "loss": 1.5355,
+      "step": 75
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 4.877272733202212e-06,
+      "loss": 1.5671,
+      "step": 76
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 4.873557457077431e-06,
+      "loss": 1.5142,
+      "step": 77
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 4.869788238853505e-06,
+      "loss": 1.4616,
+      "step": 78
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 4.8659651641906925e-06,
+      "loss": 1.5574,
+      "step": 79
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 4.862088319973205e-06,
+      "loss": 1.5764,
+      "step": 80
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 4.858157794307237e-06,
+      "loss": 1.3982,
+      "step": 81
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 4.8541736765189625e-06,
+      "loss": 1.2708,
+      "step": 82
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 4.850136057152505e-06,
+      "loss": 1.4724,
+      "step": 83
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 4.8460450279678756e-06,
+      "loss": 1.3383,
+      "step": 84
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 4.841900681938895e-06,
+      "loss": 1.3246,
+      "step": 85
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 4.837703113251076e-06,
+      "loss": 1.296,
+      "step": 86
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 4.83345241729948e-06,
+      "loss": 1.3624,
+      "step": 87
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 4.8291486906865595e-06,
+      "loss": 1.4347,
+      "step": 88
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 4.824792031219949e-06,
+      "loss": 1.5823,
+      "step": 89
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 4.820382537910254e-06,
+      "loss": 1.4445,
+      "step": 90
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 4.815920310968793e-06,
+      "loss": 1.5752,
+      "step": 91
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 4.8114054518053265e-06,
+      "loss": 1.435,
+      "step": 92
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 4.806838063025745e-06,
+      "loss": 1.5153,
+      "step": 93
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 4.802218248429742e-06,
+      "loss": 1.4925,
+      "step": 94
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 4.797546113008457e-06,
+      "loss": 1.5668,
+      "step": 95
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 4.792821762942083e-06,
+      "loss": 1.3986,
+      "step": 96
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 4.788045305597457e-06,
+      "loss": 1.5273,
+      "step": 97
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 4.783216849525624e-06,
+      "loss": 1.5795,
+      "step": 98
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 4.778336504459363e-06,
+      "loss": 1.4153,
+      "step": 99
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 4.773404381310693e-06,
+      "loss": 1.3923,
+      "step": 100
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 4.768420592168362e-06,
+      "loss": 1.5524,
+      "step": 101
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 4.763385250295289e-06,
+      "loss": 1.4603,
+      "step": 102
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 4.758298470125994e-06,
+      "loss": 1.1736,
+      "step": 103
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 4.753160367263999e-06,
+      "loss": 1.5845,
+      "step": 104
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 4.747971058479199e-06,
+      "loss": 1.4358,
+      "step": 105
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 4.742730661705206e-06,
+      "loss": 1.3916,
+      "step": 106
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 4.7374392960366765e-06,
+      "loss": 1.5518,
+      "step": 107
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 4.732097081726594e-06,
+      "loss": 1.2674,
+      "step": 108
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 4.7267041401835455e-06,
+      "loss": 1.6152,
+      "step": 109
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 4.721260593968956e-06,
+      "loss": 1.3621,
+      "step": 110
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 4.715766566794308e-06,
+      "loss": 1.349,
+      "step": 111
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 4.710222183518327e-06,
+      "loss": 1.3356,
+      "step": 112
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 4.704627570144144e-06,
+      "loss": 1.4364,
+      "step": 113
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 4.698982853816434e-06,
+      "loss": 1.3736,
+      "step": 114
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 4.693288162818522e-06,
+      "loss": 1.4143,
+      "step": 115
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 4.687543626569476e-06,
+      "loss": 1.4389,
+      "step": 116
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 4.681749375621154e-06,
+      "loss": 1.3867,
+      "step": 117
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 4.675905541655249e-06,
+      "loss": 1.2436,
+      "step": 118
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 4.670012257480287e-06,
+      "loss": 1.3963,
+      "step": 119
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 4.664069657028617e-06,
+      "loss": 1.204,
+      "step": 120
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 4.658077875353357e-06,
+      "loss": 1.5107,
+      "step": 121
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 4.652037048625336e-06,
+      "loss": 1.2643,
+      "step": 122
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 4.64594731412999e-06,
+      "loss": 1.3832,
+      "step": 123
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 4.6398088102642485e-06,
+      "loss": 1.2725,
+      "step": 124
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 4.633621676533385e-06,
+      "loss": 1.3698,
+      "step": 125
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 4.627386053547851e-06,
+      "loss": 1.3291,
+      "step": 126
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 4.621102083020074e-06,
+      "loss": 1.3378,
+      "step": 127
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 4.6147699077612425e-06,
+      "loss": 1.5546,
+      "step": 128
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 4.60838967167806e-06,
+      "loss": 1.2718,
+      "step": 129
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 4.60196151976947e-06,
+      "loss": 1.3865,
+      "step": 130
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 4.595485598123366e-06,
+      "loss": 1.4959,
+      "step": 131
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 4.588962053913268e-06,
+      "loss": 1.3494,
+      "step": 132
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 4.582391035394981e-06,
+      "loss": 1.4601,
+      "step": 133
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 4.5757726919032205e-06,
+      "loss": 1.4359,
+      "step": 134
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 4.569107173848227e-06,
+      "loss": 1.3322,
+      "step": 135
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 4.5623946327123375e-06,
+      "loss": 1.2575,
+      "step": 136
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 4.55563522104655e-06,
+      "loss": 1.3388,
+      "step": 137
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 4.548829092467058e-06,
+      "loss": 1.2733,
+      "step": 138
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 4.541976401651749e-06,
+      "loss": 1.3894,
+      "step": 139
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 4.535077304336701e-06,
+      "loss": 1.4156,
+      "step": 140
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 669,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 20,
+  "total_flos": 9.901537341997056e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-140/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2af49b3634a6dfe256c70aa8c069a00e66e7454ba8f9b6cb6293e06315e0ced
+size 5240