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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: 0.0501
- F1: 0.6
## 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 | 0.0846 | 0.0 |
| No log | 2.0 | 106 | 0.0477 | 0.1538 |
| No log | 3.0 | 159 | 0.0438 | 0.6087 |
| No log | 4.0 | 212 | 0.0421 | 0.5778 |
| No log | 5.0 | 265 | 0.0442 | 0.5778 |
| No log | 6.0 | 318 | 0.0477 | 0.5909 |
| No log | 7.0 | 371 | 0.0501 | 0.6 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3
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