metadata
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.3
model-index:
- name: Mistral_AAID_mixed_train_final
results: []
Mistral_AAID_mixed_train_final
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the AAID_mixed dataset. It achieves the following results on the evaluation set:
- Loss: 0.5356
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8548 | 0.0109 | 10 | 0.5356 |
| 0.4005 | 0.0219 | 20 | 0.5795 |
| 0.3521 | 0.0328 | 30 | 0.5634 |
| 0.3565 | 0.0438 | 40 | 0.5676 |
| 0.3418 | 0.0547 | 50 | 0.5385 |
| 0.3298 | 0.0656 | 60 | 0.5532 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1