make model

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: 2.9838
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.822         | 0.01  | 1    | 2.7914          |
+| 2.4718        | 0.15  | 17   | 2.4825          |
+| 2.4643        | 0.31  | 34   | 2.4859          |
+| 2.4417        | 0.46  | 51   | 2.4764          |
+| 2.4343        | 0.62  | 68   | 2.4696          |
+| 2.4312        | 0.77  | 85   | 2.4645          |
+| 2.385         | 0.92  | 102  | 2.4511          |
+| 1.5771        | 1.05  | 119  | 2.5741          |
+| 1.4889        | 1.21  | 136  | 2.5933          |
+| 1.4574        | 1.36  | 153  | 2.6168          |
+| 1.493         | 1.52  | 170  | 2.6088          |
+| 1.4544        | 1.67  | 187  | 2.6049          |
+| 1.4422        | 1.82  | 204  | 2.5967          |
+| 1.3711        | 1.98  | 221  | 2.6013          |
+| 0.7967        | 2.11  | 238  | 3.1609          |
+| 0.7342        | 2.26  | 255  | 3.0085          |
+| 0.7731        | 2.42  | 272  | 2.9758          |
+| 0.7546        | 2.57  | 289  | 2.9832          |
+| 0.7936        | 2.72  | 306  | 2.9837          |
+| 0.7374        | 2.88  | 323  | 2.9838          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "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": "4.34.1",
+  "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": "4.34.1"
+}

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