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---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-finetuned-nlp-letters-TEXT-all-class-weighted
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. -->
# roberta-base-finetuned-nlp-letters-TEXT-all-class-weighted
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7120
- F1: 0.7740
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 221 | 0.4726 | 0.4302 |
| No log | 2.0 | 442 | 0.4392 | 0.4995 |
| 0.4877 | 3.0 | 663 | 0.3867 | 0.4836 |
| 0.4877 | 4.0 | 884 | 0.5359 | 0.6492 |
| 0.4029 | 5.0 | 1105 | 0.4401 | 0.6013 |
| 0.4029 | 6.0 | 1326 | 0.4508 | 0.7301 |
| 0.3208 | 7.0 | 1547 | 0.7120 | 0.7740 |
| 0.3208 | 8.0 | 1768 | 1.0509 | 0.7690 |
| 0.3208 | 9.0 | 1989 | 1.5755 | 0.7444 |
| 0.2085 | 10.0 | 2210 | 1.8282 | 0.7580 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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