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README.md

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+---
+base_model: alpindale/Mistral-7B-v0.2-hf
+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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: alpindale/Mistral-7B-v0.2-hf
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: ./datasets/ToxicQAFinal.parquet
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/aesir-3-sfw_names-replaced.json
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/aesir-3-nsfw_names-replaced.json
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/aesir2_modified_sharegpt.json
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/aesir_modified_sharegpt.json
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/no-robots-sharegpt-fixed.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/bluemoon.train.json
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/toxicsharegpt-NoWarning.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/LimaRP-ShareGPT.json
+    type: sharegpt
+    conversation: chatml
+  - path: ./datasets/CapybaraPure_Decontaminated-ShareGPT.json
+    type: sharegpt
+    conversation: chatml
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./out
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+
+wandb_project: MistralMaid-7B-0.2
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 3
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000005
+
+train_on_inputs: true
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+
+```
+
+</details><br>
+
+# out
+
+This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1414
+
+## 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: 5e-06
+- train_batch_size: 3
+- eval_batch_size: 3
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 6
+- total_eval_batch_size: 6
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4494        | 0.0   | 1    | 1.4125          |
+| 1.2942        | 0.25  | 296  | 1.1561          |
+| 1.3496        | 0.5   | 592  | 1.1433          |
+| 1.0723        | 0.75  | 888  | 1.1374          |
+| 1.3354        | 1.0   | 1184 | 1.1313          |
+| 0.9644        | 1.24  | 1480 | 1.1415          |
+| 1.1276        | 1.49  | 1776 | 1.1412          |
+| 0.9386        | 1.74  | 2072 | 1.1414          |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "alpindale/Mistral-7B-v0.2-hf",
+  "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": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.40.0.dev0"
+}

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