metadata
base_model: final_models/focus_bur_mpt_after_focus_reinit
tags:
- generated_from_trainer
datasets:
- mc4
model-index:
- name: focus_bur_mpt_focus_trained
results: []
focus_bur_mpt_focus_trained
This model is a fine-tuned version of final_models/focus_bur_mpt_after_focus_reinit on the mc4 my dataset. It achieves the following results on the evaluation set:
- Loss: 2.0528
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 6.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3438 | 1.0 | 24415 | 2.1199 |
| 1.4219 | 2.0 | 48830 | 2.0162 |
| 2.375 | 3.0 | 73245 | 1.9148 |
| 1.0312 | 4.0 | 97660 | 1.8230 |
| 1.1094 | 5.0 | 122075 | 1.8094 |
| 0.5508 | 6.0 | 146490 | 2.0528 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1