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---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTNEG4
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. -->
# SRGPTSENTNEG4
This model is a fine-tuned version of [Tanor/SRGPTSENTNEG4](https://huggingface.co./Tanor/SRGPTSENTNEG4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1827
- F1: 0.3902
## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0327 | 1.0 | 3010 | 0.1860 | 0.1429 |
| 0.0897 | 2.0 | 6020 | 0.1548 | 0.4211 |
| 0.0361 | 3.0 | 9030 | 0.1446 | 0.4390 |
| 0.0251 | 4.0 | 12041 | 0.2221 | 0.3896 |
| 0.0095 | 5.0 | 15051 | 0.1827 | 0.3902 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.1.0.dev20230715
- Datasets 2.13.1
- Tokenizers 0.13.3
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