File size: 2,265 Bytes
e88e442 e9fdc89 e88e442 e9fdc89 |
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 |
---
license: apache-2.0
base_model: Redhotchilipoppy/montelnewsspeaker
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MontelClassifier
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. -->
# MontelClassifier
This model is a fine-tuned version of [Redhotchilipoppy/montelnewsspeaker](https://huggingface.co/Redhotchilipoppy/montelnewsspeaker) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6256
- Accuracy: 0.7296
## 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: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 116 | 1.4596 | 0.5880 |
| No log | 2.0 | 232 | 1.1372 | 0.7039 |
| No log | 3.0 | 348 | 1.0803 | 0.6910 |
| No log | 4.0 | 464 | 1.1075 | 0.7253 |
| 1.2586 | 5.0 | 580 | 1.1247 | 0.7253 |
| 1.2586 | 6.0 | 696 | 1.2004 | 0.7253 |
| 1.2586 | 7.0 | 812 | 1.2889 | 0.7253 |
| 1.2586 | 8.0 | 928 | 1.3423 | 0.7253 |
| 0.3598 | 9.0 | 1044 | 1.5117 | 0.7425 |
| 0.3598 | 10.0 | 1160 | 1.4968 | 0.7425 |
| 0.3598 | 11.0 | 1276 | 1.4889 | 0.7253 |
| 0.3598 | 12.0 | 1392 | 1.5606 | 0.7296 |
| 0.0958 | 13.0 | 1508 | 1.6033 | 0.7339 |
| 0.0958 | 14.0 | 1624 | 1.6221 | 0.7339 |
| 0.0958 | 15.0 | 1740 | 1.6256 | 0.7296 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
|