metadata
license: apache-2.0
base_model: sentence-transformers/all-distilroberta-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: all-distilroberta-finetuned-on-agent
results: []
all-distilroberta-finetuned-on-agent
This model is a fine-tuned version of sentence-transformers/all-distilroberta-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0505
- Accuracy: 1.0
- F1: 1.0
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: 6
- eval_batch_size: 6
- seed: 42
- distributed_type: tpu
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 4.8137 | 1.0 | 30 | 4.2195 | 0.5 | 0.4046 |
| 3.8117 | 2.0 | 60 | 3.3029 | 0.7667 | 0.7270 |
| 3.0598 | 3.0 | 90 | 2.6420 | 0.8333 | 0.8137 |
| 2.4888 | 4.0 | 120 | 2.1405 | 0.8667 | 0.8470 |
| 2.0583 | 5.0 | 150 | 1.7464 | 0.9 | 0.8825 |
| 1.6867 | 6.0 | 180 | 1.4774 | 0.9667 | 0.9644 |
| 1.4817 | 7.0 | 210 | 1.2812 | 0.9667 | 0.9644 |
| 1.2876 | 8.0 | 240 | 1.1481 | 1.0 | 1.0 |
| 1.1833 | 9.0 | 270 | 1.0764 | 1.0 | 1.0 |
| 1.1549 | 10.0 | 300 | 1.0505 | 1.0 | 1.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2