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README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: out
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+# out
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4144
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 6e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 300
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6699        | 0.02  | 20   | 1.5921          |
+| 1.3657        | 0.04  | 40   | 1.5729          |
+| 1.5918        | 0.07  | 60   | 1.5610          |
+| 1.6343        | 0.09  | 80   | 1.5550          |
+| 1.5015        | 0.11  | 100  | 1.5456          |
+| 1.5233        | 0.13  | 120  | 1.5392          |
+| 1.5025        | 0.15  | 140  | 1.5314          |
+| 1.6424        | 0.18  | 160  | 1.5275          |
+| 1.6267        | 0.2   | 180  | 1.5219          |
+| 1.4698        | 0.22  | 200  | 1.5174          |
+| 1.4297        | 0.24  | 220  | 1.5131          |
+| 1.4826        | 0.26  | 240  | 1.5065          |
+| 1.3671        | 0.29  | 260  | 1.4998          |
+| 1.3661        | 0.31  | 280  | 1.4971          |
+| 1.3012        | 0.33  | 300  | 1.4908          |
+| 1.7249        | 0.35  | 320  | 1.4869          |
+| 1.1596        | 0.37  | 340  | 1.4837          |
+| 1.3188        | 0.4   | 360  | 1.4806          |
+| 1.5087        | 0.42  | 380  | 1.4785          |
+| 1.6028        | 0.44  | 400  | 1.4739          |
+| 1.4167        | 0.46  | 420  | 1.4715          |
+| 1.4823        | 0.48  | 440  | 1.4666          |
+| 1.5418        | 0.51  | 460  | 1.4637          |
+| 1.6369        | 0.53  | 480  | 1.4619          |
+| 1.5098        | 0.55  | 500  | 1.4604          |
+| 1.5404        | 0.57  | 520  | 1.4586          |
+| 1.4594        | 0.6   | 540  | 1.4539          |
+| 1.6358        | 0.62  | 560  | 1.4516          |
+| 1.5025        | 0.64  | 580  | 1.4481          |
+| 1.5119        | 0.66  | 600  | 1.4455          |
+| 1.4617        | 0.68  | 620  | 1.4444          |
+| 1.5281        | 0.71  | 640  | 1.4422          |
+| 1.3506        | 0.73  | 660  | 1.4400          |
+| 1.4467        | 0.75  | 680  | 1.4379          |
+| 1.3382        | 0.77  | 700  | 1.4393          |
+| 1.4894        | 0.79  | 720  | 1.4361          |
+| 1.496         | 0.82  | 740  | 1.4329          |
+| 1.516         | 0.84  | 760  | 1.4314          |
+| 1.4118        | 0.86  | 780  | 1.4303          |
+| 1.5408        | 0.88  | 800  | 1.4259          |
+| 1.5307        | 0.9   | 820  | 1.4254          |
+| 1.5376        | 0.93  | 840  | 1.4227          |
+| 1.4129        | 0.95  | 860  | 1.4190          |
+| 1.7808        | 0.97  | 880  | 1.4154          |
+| 1.3279        | 0.99  | 900  | 1.4144          |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.0.dev0"
+}

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