metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_no_function_53
results: []
GPT2_no_function_53
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7232
- Accuracy: 0.3103
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 |
|---|---|---|---|---|
| 6.3722 | 1.0 | 4702 | 6.0131 | 0.2200 |
| 5.5124 | 2.0 | 9404 | 5.3614 | 0.2521 |
| 5.1637 | 3.0 | 14106 | 5.0791 | 0.2753 |
| 4.9973 | 4.0 | 18808 | 4.9464 | 0.2873 |
| 4.8674 | 5.0 | 23510 | 4.8657 | 0.2944 |
| 4.7726 | 6.0 | 28212 | 4.8131 | 0.3001 |
| 4.6943 | 7.0 | 32914 | 4.7743 | 0.3027 |
| 4.6304 | 8.0 | 37616 | 4.7480 | 0.3064 |
| 4.5722 | 9.0 | 42318 | 4.7303 | 0.3089 |
| 4.5192 | 10.0 | 47020 | 4.7232 | 0.3103 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3