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-q-sparse-v6-on-slim-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/Sonnet3.5-SlimOrcaDedupCleaned-train
+    type: chat_template
+    field_messages: messages
+
+test_datasets:
+  - path: skymizer/Sonnet3.5-SlimOrcaDedupCleaned-test
+    type: chat_template
+    field_messages: messages
+    split: train
+
+hf_use_auth_token: true
+dataset_prepared_path: pretokenized/slim-orca
+output_dir: ./exp_output_artifacts
+
+sequence_len: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+eval_sample_packing: false
+# eval_causal_lm_metrics: ["perplexity"]
+
+wandb_project: "axolotl_mistral_sft"
+wandb_entity:
+wandb_watch:
+wandb_name: "mistral-7B-v0.1-q-spase-v6-on-slim-orca"
+wandb_log_model:
+
+gradient_accumulation_steps: 2
+micro_batch_size: 16
+eval_batch_size: 1
+num_epochs: 1
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.000005
+warmup_ratio: 0.03
+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-q-sparse-v6-on-slim-orca"
+
+save_strategy: "steps"
+save_steps: 50
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+
+eval_steps: 50
+eval_table_size:
+eval_max_new_tokens: 2048
+debug:
+deepspeed: deepspeed_configs/zero3_bf16.json
+fsdp:
+fsdp_config:
+seed: 42
+
+```
+
+</details><br>
+
+# mistral-7B-v0.1-q-sparse-v6-on-slim-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: 2.7583
+
+## 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: 16
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 4
+- 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: 11
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 11.586        | 0.0026 | 1    | 11.5238         |
+| 7.2128        | 0.1277 | 50   | 7.1436          |
+| 6.3388        | 0.2554 | 100  | 6.1285          |
+| 5.4596        | 0.3831 | 150  | 5.3648          |
+| 4.4506        | 0.5109 | 200  | 4.4040          |
+| 3.5754        | 0.6386 | 250  | 3.5615          |
+| 3.0413        | 0.7663 | 300  | 2.9740          |
+| 2.8014        | 0.8940 | 350  | 2.7583          |
+
+
+### 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"
+}