File size: 2,353 Bytes
4f88293 |
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 |
---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: empathy_model
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. -->
# empathy_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0043
- Mse: 0.0043
## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mse |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0109 | 0.05 | 50 | 0.0050 | 0.0050 |
| 0.0063 | 0.11 | 100 | 0.0092 | 0.0092 |
| 0.0074 | 0.16 | 150 | 0.0045 | 0.0045 |
| 0.0056 | 0.22 | 200 | 0.0060 | 0.0060 |
| 0.0082 | 0.27 | 250 | 0.0046 | 0.0046 |
| 0.0055 | 0.32 | 300 | 0.0056 | 0.0056 |
| 0.0061 | 0.38 | 350 | 0.0045 | 0.0045 |
| 0.0079 | 0.43 | 400 | 0.0060 | 0.0060 |
| 0.0061 | 0.48 | 450 | 0.0043 | 0.0043 |
| 0.0078 | 0.54 | 500 | 0.0046 | 0.0046 |
| 0.0066 | 0.59 | 550 | 0.0043 | 0.0043 |
| 0.0055 | 0.65 | 600 | 0.0044 | 0.0044 |
| 0.0059 | 0.7 | 650 | 0.0043 | 0.0043 |
| 0.0048 | 0.75 | 700 | 0.0056 | 0.0056 |
| 0.0051 | 0.81 | 750 | 0.0043 | 0.0043 |
| 0.0046 | 0.86 | 800 | 0.0043 | 0.0043 |
| 0.0055 | 0.92 | 850 | 0.0043 | 0.0043 |
| 0.0053 | 0.97 | 900 | 0.0043 | 0.0043 |
### Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|