File size: 2,615 Bytes
9ea0700 3c25720 5ff321c 9ea0700 696c7be 9ea0700 696c7be 5ff321c 696c7be 9ea0700 696c7be 5ff321c 9ea0700 82a428b 9ea0700 |
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 75 76 77 78 79 80 |
---
tags:
- generated_from_trainer
model-index:
- name: baseline
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. -->
# baseline
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4466
- Exact Match: 0.0
## 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: 0.001
- train_batch_size: 100
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 400
- optimizer: Adam with betas=(0.98,0.999) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 4000
- num_epochs: 20
- label_smoothing_factor: 0.1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 6.3122 | 1.0 | 25 | 5.7364 | 0.0 |
| 5.8177 | 2.0 | 50 | 4.9179 | 0.0 |
| 5.1624 | 3.0 | 75 | 4.4491 | 0.0 |
| 4.7076 | 4.0 | 100 | 4.1395 | 0.0 |
| 4.4358 | 5.0 | 125 | 3.9761 | 0.0 |
| 4.2763 | 6.0 | 150 | 3.8478 | 0.0 |
| 4.1404 | 7.0 | 175 | 3.7119 | 0.0 |
| 3.984 | 8.0 | 200 | 3.5356 | 0.0 |
| 3.8084 | 9.0 | 225 | 3.3644 | 0.0 |
| 3.6421 | 10.0 | 250 | 3.2169 | 0.0 |
| 3.4841 | 11.0 | 275 | 3.0907 | 0.0 |
| 3.3362 | 12.0 | 300 | 2.9754 | 0.0 |
| 3.207 | 13.0 | 325 | 2.8878 | 0.0 |
| 3.0947 | 14.0 | 350 | 2.8081 | 0.0 |
| 3.0028 | 15.0 | 375 | 2.7048 | 0.0 |
| 2.9156 | 16.0 | 400 | 2.6395 | 0.0 |
| 2.8343 | 17.0 | 425 | 2.5716 | 0.0 |
| 2.7597 | 18.0 | 450 | 2.5290 | 0.0 |
| 2.6895 | 19.0 | 475 | 2.4916 | 0.0 |
| 2.619 | 20.0 | 500 | 2.4466 | 0.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
|