File size: 1,902 Bytes
119b654 |
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 |
---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: assitant_model_classification
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. -->
# assitant_model_classification
This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0008
## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6274 | 1.0 | 11 | 0.4715 |
| 0.3872 | 2.0 | 22 | 0.1859 |
| 0.099 | 3.0 | 33 | 0.0306 |
| 0.0177 | 4.0 | 44 | 0.0224 |
| 0.0039 | 5.0 | 55 | 0.0024 |
| 0.0015 | 6.0 | 66 | 0.0009 |
| 0.0019 | 7.0 | 77 | 0.0009 |
| 0.0008 | 8.0 | 88 | 0.0009 |
| 0.0004 | 9.0 | 99 | 0.0008 |
| 0.0003 | 10.0 | 110 | 0.0008 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
|