File size: 1,742 Bytes
425e31b 69504be 425e31b 69504be 425e31b |
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: google/electra-small-discriminator
tags:
- generated_from_trainer
model-index:
- name: teacher_electra_small
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. -->
# teacher_electra_small
This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3884
## 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: 16
- eval_batch_size: 16
- seed: 1022
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8696 | 0.35 | 3000 | 0.5508 |
| 0.5071 | 0.71 | 6000 | 0.4578 |
| 0.448 | 1.06 | 9000 | 0.4210 |
| 0.4084 | 1.41 | 12000 | 0.4109 |
| 0.3878 | 1.77 | 15000 | 0.3913 |
| 0.3832 | 2.12 | 18000 | 0.3884 |
| 0.3529 | 2.47 | 21000 | 0.3900 |
| 0.3492 | 2.83 | 24000 | 0.3884 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.13.2
|