File size: 1,757 Bytes
423476f 428ef30 423476f a1dcba0 423476f 428ef30 423476f |
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 |
---
license: apache-2.0
base_model: irfanamal/distilbert_multiple_choice
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert_science_multiple_choice
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. -->
# distilbert_science_multiple_choice
This model is a fine-tuned version of [irfanamal/distilbert_multiple_choice](https://huggingface.co/irfanamal/distilbert_multiple_choice) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2270
- Accuracy: 0.45
## 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-06
- 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
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2942 | 1.0 | 12 | 1.2255 | 0.5 |
| 1.2394 | 2.0 | 24 | 1.2289 | 0.5 |
| 1.2116 | 3.0 | 36 | 1.2436 | 0.5 |
| 1.0957 | 4.0 | 48 | 1.2457 | 0.5 |
| 1.0705 | 5.0 | 60 | 1.2316 | 0.45 |
| 0.993 | 6.0 | 72 | 1.2270 | 0.45 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
|