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README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.3
+tags:
+- generated_from_trainer
+model-index:
+- name: home/migel/tess-2.5-mistral-7B-phase-1
+  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: `0.4.1`
+```yaml
+base_model: mistralai/Mistral-7B-v0.3
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+tokenizer_use_fast: false
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+model_config:
+
+datasets:
+  - path: /home/migel/ai_datasets/tess-v1.5b-chatml.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /home/migel/ai_datasets/Tess-3.0/Tess-3.0-multi_turn_chatml.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /home/migel/ai_datasets/Tess-3.0/Tess-3.0-single_turn_chatml.jsonl
+    type: sharegpt
+    conversation: chatml
+
+chat_template: chatml
+
+dataset_prepared_path: last_run_prepared_mistral
+val_set_size: 0.0
+output_dir: /home/migel/tess-2.5-mistral-7B-phase-1
+
+resume_from_checkpoint: /home/migel/tess-2.5-mistral-7B-phase-1/checkpoint-440 
+auto_resume_from_checkpoints: true
+
+sequence_len: 16384
+sample_packing: true
+pad_to_sequence_len: true
+
+gradient_accumulation_steps: 4
+micro_batch_size: 4
+num_epochs: 1
+logging_steps: 1
+optimizer: adamw_8bit
+lr_scheduler: constant
+learning_rate: 1e-6
+
+wandb_project: mistral-7b
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+saves_per_epoch: 10
+evals_per_epoch: 10
+save_total_limit: 3
+save_steps:
+eval_sample_packing: false
+debug:
+deepspeed: /home/migel/axolotl/deepspeed_configs/zero3_bf16.json
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<|im_start|>"
+  eos_token: "<|im_end|>"
+  pad_token: "<|end_of_text|>"
+
+
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/migtissera/mistral-7b/runs/cd38b2jb)
+# home/migel/tess-2.5-mistral-7B-phase-1
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the None dataset.
+
+## 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: 1e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 32
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1