File size: 2,597 Bytes
bf60007 1905176 bf60007 1905176 bf60007 | 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 81 | ---
library_name: transformers
license: apache-2.0
base_model: tinutmap/categor_ai_23_cats
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: categor_ai_23_cats_train
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. -->
# categor_ai_23_cats_train
This model is a fine-tuned version of [tinutmap/categor_ai_23_cats](https://huggingface.co/tinutmap/categor_ai_23_cats) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0988
- Accuracy: 1.0
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 1.5714 | 0.0 |
| No log | 2.0 | 2 | 0.9634 | 1.0 |
| No log | 3.0 | 3 | 0.5682 | 1.0 |
| No log | 4.0 | 4 | 0.3683 | 1.0 |
| No log | 5.0 | 5 | 0.2697 | 1.0 |
| No log | 6.0 | 6 | 0.2010 | 1.0 |
| No log | 7.0 | 7 | 0.1684 | 1.0 |
| No log | 8.0 | 8 | 0.1496 | 1.0 |
| No log | 9.0 | 9 | 0.1369 | 1.0 |
| No log | 10.0 | 10 | 0.1313 | 1.0 |
| No log | 11.0 | 11 | 0.1261 | 1.0 |
| No log | 12.0 | 12 | 0.1202 | 1.0 |
| No log | 13.0 | 13 | 0.1168 | 1.0 |
| No log | 14.0 | 14 | 0.1131 | 1.0 |
| No log | 15.0 | 15 | 0.1095 | 1.0 |
| No log | 16.0 | 16 | 0.1056 | 1.0 |
| No log | 17.0 | 17 | 0.1026 | 1.0 |
| No log | 18.0 | 18 | 0.1006 | 1.0 |
| No log | 19.0 | 19 | 0.0995 | 1.0 |
| No log | 20.0 | 20 | 0.0988 | 1.0 |
### Framework versions
- Transformers 4.44.1
- Pytorch 2.3.1
- Datasets 2.19.1
- Tokenizers 0.19.1
|