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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-v0.3 |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: Mistral-7B-v0.3-sarcasm-scrolls-v2 |
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results: [] |
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datasets: |
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- BEE-spoke-data/sarcasm-scrolls |
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language: |
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- en |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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base_model: mistralai/Mistral-7B-v0.3 |
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model_type: MistralForCausalLM |
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tokenizer_type: LlamaTokenizer |
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strict: false |
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# dataset |
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datasets: |
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- path: BEE-spoke-data/sarcasm-scrolls |
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type: completion # format from earlier |
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field: text |
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val_set_size: 200 |
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sequence_len: 4096 |
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sample_packing: true |
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pad_to_sequence_len: true |
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train_on_inputs: false |
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group_by_length: false |
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# WANDB |
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wandb_project: sarcasm-scrolls |
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wandb_entity: pszemraj |
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wandb_watch: gradients |
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wandb_name: Mistral-7B-v0.3-sarcasm-scrolls-v2a |
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hub_model_id: pszemraj/Mistral-7B-v0.3-sarcasm-scrolls-v2 |
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hub_strategy: every_save |
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gradient_accumulation_steps: 32 |
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micro_batch_size: 1 |
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num_epochs: 2 |
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optimizer: adamw_torch_fused # paged_adamw_32bit |
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lr_scheduler: cosine |
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learning_rate: 2e-5 |
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load_in_8bit: false |
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load_in_4bit: false |
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bf16: true |
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tf32: true |
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torch_compile: true |
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torch_compile_backend: inductor # Optional[str] |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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early_stopping_patience: |
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logging_steps: 3 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 20 |
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# hyperparams for freq of evals, saving, etc |
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evals_per_epoch: 4 |
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saves_per_epoch: 4 |
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save_safetensors: true |
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save_total_limit: 1 # Checkpoints saved at a time |
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output_dir: ./output-axolotl/output-model-chaz |
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resume_from_checkpoint: |
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deepspeed: |
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weight_decay: 0.06 |
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special_tokens: |
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``` |
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</details><br> |
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# Mistral-7B-v0.3-sarcasm-scrolls-v2 |
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## Model description |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the BEE-spoke-data/sarcasm-scrolls dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3333 |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0075 | 1 | 2.3935 | |
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| 2.3672 | 0.2548 | 34 | 2.3638 | |
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| 2.3751 | 0.5096 | 68 | 2.3499 | |
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| 2.308 | 0.7644 | 102 | 2.3238 | |
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| 2.2672 | 1.0035 | 136 | 2.3027 | |
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| 1.702 | 1.2583 | 170 | 2.3449 | |
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| 1.7456 | 1.5131 | 204 | 2.3370 | |
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| 1.7004 | 1.7679 | 238 | 2.3333 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.1+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
