metadata
library_name: transformers
license: other
base_model: clinno/eightwords-241112-mt
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft
results: []
sft
This model is a fine-tuned version of clinno/eightwords-241112-mt on the identity and the eightwords-20241113-alapaca datasets. It achieves the following results on the evaluation set:
- Loss: 3.0098
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 64.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2795 | 12.5196 | 1000 | 2.0127 |
| 0.0784 | 25.0391 | 2000 | 2.3600 |
| 0.0037 | 37.5587 | 3000 | 2.7559 |
| 0.0016 | 50.0782 | 4000 | 2.9700 |
| 0.0013 | 62.5978 | 5000 | 3.0162 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3