metadata
tags:
- generated_from_trainer
model-index:
- name: debug_fict-full-lstm-42
results: []
debug_fict-full-lstm-42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.8326
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.8138 | 0.08 | 10 | 10.8042 |
| 10.7946 | 0.16 | 20 | 10.7810 |
| 10.7603 | 0.24 | 30 | 10.7205 |
| 10.6159 | 0.32 | 40 | 10.2845 |
| 9.881 | 0.4 | 50 | 9.2412 |
| 9.0551 | 0.48 | 60 | 8.6320 |
| 8.5603 | 0.56 | 70 | 8.3005 |
| 8.3761 | 0.64 | 80 | 8.1058 |
| 8.2158 | 0.72 | 90 | 7.9828 |
| 8.0922 | 0.8 | 100 | 7.9046 |
| 8.0326 | 0.88 | 110 | 7.8563 |
| 8.1135 | 0.96 | 120 | 7.8326 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3