File size: 2,115 Bytes
f8e222c |
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 70 71 72 73 74 |
---
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2147
## 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
- lr_scheduler_warmup_steps: 200
- num_epochs: 16
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1553 | 1.0 | 1521 | 0.1512 |
| 0.1561 | 2.0 | 3042 | 0.1484 |
| 0.1344 | 3.0 | 4563 | 0.1497 |
| 0.1119 | 4.0 | 6084 | 0.1551 |
| 0.1117 | 5.0 | 7605 | 0.1640 |
| 0.1095 | 6.0 | 9126 | 0.1729 |
| 0.0714 | 7.0 | 10647 | 0.1871 |
| 0.0617 | 8.0 | 12168 | 0.1950 |
| 0.048 | 9.0 | 13689 | 0.2021 |
| 0.0406 | 10.0 | 15210 | 0.2044 |
| 0.0264 | 11.0 | 16731 | 0.2077 |
| 0.0235 | 12.0 | 18252 | 0.2109 |
| 0.0218 | 13.0 | 19773 | 0.2116 |
| 0.0142 | 14.0 | 21294 | 0.2136 |
| 0.0131 | 15.0 | 22815 | 0.2143 |
| 0.0118 | 16.0 | 24336 | 0.2147 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|