metadata
base_model: juancopi81/lmd-8bars-2048-epochs30_v4
tags:
- generated_from_trainer
model-index:
- name: lmd-8bars-2048-epochs30_v4
results: []
lmd-8bars-2048-epochs30_v4
This model is a fine-tuned version of juancopi81/lmd-8bars-2048-epochs30_v4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9294
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 4
- seed: 1
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9882 | 0.5 | 4994 | 0.9826 |
| 0.9945 | 1.0 | 9988 | 0.9719 |
| 0.9814 | 1.5 | 14982 | 0.9667 |
| 0.9783 | 2.0 | 19976 | 0.9565 |
| 0.963 | 2.5 | 24970 | 0.9501 |
| 0.9534 | 3.0 | 29964 | 0.9406 |
| 0.94 | 3.5 | 34958 | 0.9384 |
| 0.9341 | 4.0 | 39952 | 0.9311 |
| 0.9246 | 4.5 | 44946 | 0.9293 |
| 0.9224 | 5.0 | 49940 | 0.9294 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3