metadata
license: mit
base_model: facebook/esm2_t30_150M_UR50D
tags:
- generated_from_trainer
model-index:
- name: model_checkpoint
results: []
model_checkpoint
This model is a fine-tuned version of facebook/esm2_t30_150M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0556
- Mse: 1.0556
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: 2e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse |
|---|---|---|---|---|
| No log | 1.0 | 291 | 1.3725 | 1.3725 |
| 2.0438 | 2.0 | 582 | 1.1483 | 1.1483 |
| 2.0438 | 3.0 | 873 | 1.0556 | 1.0556 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2