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---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: BERTicSENTNEG4
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. -->
# BERTicSENTNEG4
This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0842
- F1: 0.6275
## 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: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 53 | 0.0668 | 0.0 |
| No log | 2.0 | 106 | 0.0432 | 0.6383 |
| No log | 3.0 | 159 | 0.0400 | 0.5714 |
| No log | 4.0 | 212 | 0.0458 | 0.5957 |
| No log | 5.0 | 265 | 0.0444 | 0.5882 |
| No log | 6.0 | 318 | 0.0556 | 0.5957 |
| No log | 7.0 | 371 | 0.0566 | 0.5714 |
| No log | 8.0 | 424 | 0.0587 | 0.5862 |
| No log | 9.0 | 477 | 0.0566 | 0.5660 |
| 0.0389 | 10.0 | 530 | 0.0693 | 0.5455 |
| 0.0389 | 11.0 | 583 | 0.0612 | 0.6383 |
| 0.0389 | 12.0 | 636 | 0.0596 | 0.6 |
| 0.0389 | 13.0 | 689 | 0.0671 | 0.6038 |
| 0.0389 | 14.0 | 742 | 0.0740 | 0.5957 |
| 0.0389 | 15.0 | 795 | 0.0799 | 0.5778 |
| 0.0389 | 16.0 | 848 | 0.0702 | 0.5957 |
| 0.0389 | 17.0 | 901 | 0.0737 | 0.6087 |
| 0.0389 | 18.0 | 954 | 0.0674 | 0.5660 |
| 0.0053 | 19.0 | 1007 | 0.0725 | 0.5957 |
| 0.0053 | 20.0 | 1060 | 0.0738 | 0.6 |
| 0.0053 | 21.0 | 1113 | 0.0821 | 0.625 |
| 0.0053 | 22.0 | 1166 | 0.0737 | 0.6 |
| 0.0053 | 23.0 | 1219 | 0.0828 | 0.6122 |
| 0.0053 | 24.0 | 1272 | 0.0776 | 0.6182 |
| 0.0053 | 25.0 | 1325 | 0.0792 | 0.6182 |
| 0.0053 | 26.0 | 1378 | 0.0791 | 0.6275 |
| 0.0053 | 27.0 | 1431 | 0.0812 | 0.6275 |
| 0.0053 | 28.0 | 1484 | 0.0819 | 0.6038 |
| 0.0029 | 29.0 | 1537 | 0.0831 | 0.6275 |
| 0.0029 | 30.0 | 1590 | 0.0834 | 0.6275 |
| 0.0029 | 31.0 | 1643 | 0.0837 | 0.6275 |
| 0.0029 | 32.0 | 1696 | 0.0842 | 0.6275 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3
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