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---
license: cc-by-sa-4.0
base_model: jerteh/Jerteh-355
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Jerteh355SENTNEG6
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. -->
# Jerteh355SENTNEG6
This model is a fine-tuned version of [jerteh/Jerteh-355](https://huggingface.co/jerteh/Jerteh-355) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0637
- F1: 0.5490
## 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 | 0.9843 | 47 | 0.0487 | 0.4878 |
| No log | 1.9895 | 95 | 0.0445 | 0.4737 |
| No log | 2.9948 | 143 | 0.0566 | 0.5306 |
| No log | 4.0 | 191 | 0.0594 | 0.5306 |
| No log | 4.9843 | 238 | 0.0637 | 0.5490 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.19.1
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