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_2
results: []
Mistral_AAID_mixed_train_final_2
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: 0.5355
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
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4441 | 0.2188 | 200 | 0.5355 |
| 0.2562 | 0.4375 | 400 | 0.6111 |
| 0.1736 | 0.6563 | 600 | 0.7390 |
| 0.0946 | 0.8750 | 800 | 0.8542 |
| 0.0477 | 1.0938 | 1000 | 1.0103 |
| 0.0275 | 1.3126 | 1200 | 1.1369 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1