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---

license: cc-by-sa-4.0
tags:
- generated_from_trainer
base_model: jerteh/Jerteh-355
metrics:
- f1
model-index:
- name: Jerteh355SENTPOS2
  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. -->

# Jerteh355SENTPOS2

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: 0.0611
- F1: 0.6842

## 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        | 0.9895 | 47   | 0.0469          | 0.24   |

| No log        | 2.0    | 95   | 0.0639          | 0.4138 |

| No log        | 2.9895 | 142  | 0.0557          | 0.6111 |

| No log        | 4.0    | 190  | 0.0611          | 0.6842 |





### Framework versions



- Transformers 4.40.1

- Pytorch 2.2.2

- Datasets 2.19.0

- Tokenizers 0.19.1