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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: 6.8300
+
+## 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: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- total_eval_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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2465        | 0.16  | 20   | 1.1498          |
+| 8.597         | 0.32  | 40   | 8.5500          |
+| 8.0391        | 0.48  | 60   | 7.6701          |
+| 7.2703        | 0.65  | 80   | 7.4684          |
+| 8.1368        | 0.81  | 100  | 7.7743          |
+| 7.3305        | 0.97  | 120  | 7.3737          |
+| 7.0599        | 1.13  | 140  | 7.2302          |
+| 6.9011        | 1.29  | 160  | 7.1971          |
+| 7.2194        | 1.45  | 180  | 7.0846          |
+| 7.2281        | 1.61  | 200  | 7.0792          |
+| 7.3379        | 1.77  | 220  | 7.0411          |
+| 7.1461        | 1.94  | 240  | 7.0113          |
+| 7.113         | 2.1   | 260  | 6.9626          |
+| 6.7317        | 2.26  | 280  | 7.0031          |
+| 6.8143        | 2.42  | 300  | 6.9219          |
+| 6.9195        | 2.58  | 320  | 6.8336          |
+| 6.3028        | 2.74  | 340  | 6.8596          |
+| 6.8106        | 2.9   | 360  | 6.8300          |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.14.0

added_tokens.json

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+}

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": "float16",
+  "transformers_version": "4.34.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

emissions.csv

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+2023-09-28T21:41:34,codecarbon,6857311b-2861-4375-a534-531dca93ae49,9308.583595275879,1.385938374417654,0.00014888821271595177,108.38981990984016,494.632,188.9190330505371,0.33487497946560274,1.346777811488636,0.49345318256298676,2.1751059735172276,India,IND,tamil nadu,,,Linux-5.4.0-72-generic-x86_64-with-glibc2.29,3.8.10,2.2.3,80,Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz,8,8 x Tesla V100-SXM2-32GB,79.1306,12.9202,503.7840881347656,machine,N,1.0

generation_config.json

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+  "eos_token_id": 2,
+  "transformers_version": "4.34.0.dev0"
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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+  "sp_model_kwargs": {},
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+  "tokenizer_class": "LlamaTokenizer",
+  "tokenizer_file": "/root/.cache/huggingface/hub/models--mistralai--Mistral-7B-v0.1/snapshots/c927a0b22491ca7cf113436af61f2700a9af98c9/tokenizer.json",
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+  "use_fast": true
+}