metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_five_function_53
results: []
GPT2_five_function_53
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6064
- Accuracy: 0.4052
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 53
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.7541 | 1.0 | 6408 | 4.5598 | 0.3268 |
| 4.1833 | 2.0 | 12816 | 4.0602 | 0.3599 |
| 3.9344 | 3.0 | 19224 | 3.8742 | 0.3767 |
| 3.8132 | 4.0 | 25632 | 3.7790 | 0.3858 |
| 3.7206 | 5.0 | 32040 | 3.7182 | 0.3915 |
| 3.6507 | 6.0 | 38448 | 3.6788 | 0.3954 |
| 3.5926 | 7.0 | 44856 | 3.6508 | 0.3991 |
| 3.5419 | 8.0 | 51264 | 3.6279 | 0.4019 |
| 3.499 | 9.0 | 57672 | 3.6127 | 0.4039 |
| 3.4548 | 10.0 | 64080 | 3.6064 | 0.4052 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3