File size: 1,807 Bytes
4467c6c ea0885b 4467c6c ea0885b 4467c6c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
library_name: transformers
license: mit
base_model: openai-gpt
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
- precision
model-index:
- name: gpt1_sst2_right
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt1_sst2_right
This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4216
- Accuracy: 0.9255
- Recall: 0.9369
- Precision: 0.9183
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|
| 0.2 | 1.0 | 4210 | 0.2958 | 0.9037 | 0.8649 | 0.9412 |
| 0.1455 | 2.0 | 8420 | 0.3172 | 0.9186 | 0.9505 | 0.8960 |
| 0.0892 | 3.0 | 12630 | 0.3637 | 0.9278 | 0.9257 | 0.9320 |
| 0.0584 | 4.0 | 16840 | 0.4216 | 0.9255 | 0.9369 | 0.9183 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
|