veddm's picture
update model card README.md
b00eaa8
|
raw
history blame
No virus
1.82 kB
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: all-distilroberta-v1-finetuned-DIT-10_epochs
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. -->
# all-distilroberta-v1-finetuned-DIT-10_epochs
This model is a fine-tuned version of [sentence-transformers/all-distilroberta-v1](https://huggingface.co/sentence-transformers/all-distilroberta-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0044
## 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: 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 358 | 0.0196 |
| 0.3013 | 2.0 | 716 | 0.0092 |
| 0.0073 | 3.0 | 1074 | 0.0065 |
| 0.0073 | 4.0 | 1432 | 0.0054 |
| 0.0021 | 5.0 | 1790 | 0.0051 |
| 0.0007 | 6.0 | 2148 | 0.0047 |
| 0.0004 | 7.0 | 2506 | 0.0047 |
| 0.0004 | 8.0 | 2864 | 0.0046 |
| 0.0004 | 9.0 | 3222 | 0.0044 |
| 0.0003 | 10.0 | 3580 | 0.0044 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2+cpu
- Datasets 2.0.0
- Tokenizers 0.11.6