Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: mistral-7B-v0.1-open-orca
+  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.5.2`
+```yaml
+base_model: mistralai/Mistral-7B-v0.1
+model_type: AutoModelForCausalLM
+tokenizer_config: Open-Orca/Mistral-7B-OpenOrca
+tokenizer_type: AutoTokenizer
+tokenizer_use_fast: false
+resize_token_embeddings_to_32x: false
+
+flash_attention: true
+xformers_attention:
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+chat_template: chatml
+datasets:
+  - path: skymizer/open-orca-conversations
+    type: chat_template
+    field_messages: messages
+    train_on_split: train
+
+test_datasets:
+  - path: skymizer/open-orca-conversations
+    type: chat_template
+    field_messages: messages
+    split: test
+
+hf_use_auth_token: true
+dataset_prepared_path: /mnt/home/model-team/dataset/pretokenized/mistral-open-orca
+output_dir: /mnt/home/model-team/models/mistral-7B-v0.1-open-orca-vanilla
+
+sequence_len: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+eval_sample_packing: false
+# eval_causal_lm_metrics: ["perplexity"]
+
+wandb_project: "axolotl_q_sparse_sft"
+wandb_entity:
+wandb_watch:
+wandb_name: "mistral-7B-v0.1-open-orca"
+wandb_log_model:
+
+gradient_accumulation_steps: 2
+micro_batch_size: 8
+eval_batch_size: 
+num_epochs: 1
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.000005
+weight_decay: 0.0
+adam_beta1: 0.9
+adam_beta2: 0.95
+adam_eps: 0.000001
+max_grad_norm: 1.0
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16:
+tf32: false
+
+hub_model_id: "skymizer/mistral-7B-v0.1-open-orca"
+
+save_strategy: "steps"
+save_steps: 500
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+
+warmup_ratio: 0.03
+eval_steps: 500
+eval_table_size:
+eval_max_new_tokens: 2048
+debug:
+deepspeed: /root/train/axolotl/deepspeed_configs/zero3_bf16.json
+fsdp:
+fsdp_config:
+seed: 42
+
+```
+
+</details><br>
+
+# mistral-7B-v0.1-open-orca
+
+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: 0.4278
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 182
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.189         | 0.0002 | 1    | 1.2125          |
+| 0.5119        | 0.0824 | 500  | 0.5199          |
+| 0.5351        | 0.1648 | 1000 | 0.5017          |
+| 0.5137        | 0.2472 | 1500 | 0.4893          |
+| 0.5229        | 0.3296 | 2000 | 0.4784          |
+| 0.4858        | 0.4120 | 2500 | 0.4687          |
+| 0.4767        | 0.4944 | 3000 | 0.4583          |
+| 0.4959        | 0.5768 | 3500 | 0.4494          |
+| 0.4502        | 0.6592 | 4000 | 0.4416          |
+| 0.4698        | 0.7416 | 4500 | 0.4353          |
+| 0.482         | 0.8240 | 5000 | 0.4307          |
+| 0.4248        | 0.9064 | 5500 | 0.4284          |
+| 0.4534        | 0.9888 | 6000 | 0.4278          |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.46.3"
+}