File size: 1,842 Bytes
8a10316 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Roberta-classweight-Sentiment-identifier
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-classweight-Sentiment-identifier
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8158
- F1: 0.6592
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8212 | 0.5 | 500 | 1.1575 | 0.2482 |
| 0.8156 | 1.0 | 1000 | 0.8164 | 0.6421 |
| 0.8291 | 1.5 | 1500 | 0.8158 | 0.6592 |
| 0.8044 | 2.01 | 2000 | 0.8315 | 0.6372 |
| 0.7937 | 2.51 | 2500 | 0.8362 | 0.6618 |
| 0.8094 | 3.01 | 3000 | 0.8188 | 0.6703 |
| 0.833 | 3.51 | 3500 | 0.8447 | 0.6650 |
| 0.8259 | 4.01 | 4000 | 0.8478 | 0.6631 |
| 0.8374 | 4.51 | 4500 | 0.8255 | 0.6626 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|