File size: 1,909 Bytes
1c3d6db |
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 |
---
license: apache-2.0
base_model: albert/albert-base-v2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_albert_base_finetuned
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. -->
# COPA_albert_base_finetuned
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7959
- F1: 0.72
## 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: 1e-05
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 63 | 0.5853 | 0.728 |
| No log | 2.0 | 126 | 0.5540 | 0.708 |
| No log | 3.0 | 189 | 0.5356 | 0.74 |
| No log | 4.0 | 252 | 0.5380 | 0.766 |
| No log | 5.0 | 315 | 0.5841 | 0.7580 |
| No log | 6.0 | 378 | 0.6396 | 0.738 |
| No log | 7.0 | 441 | 0.6778 | 0.7420 |
| 0.2823 | 8.0 | 504 | 0.7111 | 0.728 |
| 0.2823 | 9.0 | 567 | 0.7695 | 0.712 |
| 0.2823 | 10.0 | 630 | 0.7959 | 0.72 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|