File size: 2,457 Bytes
bbd23de 79695c4 bbd23de 66bf94e bbd23de 79695c4 11a8ea8 bbd23de f148c08 0cffc05 bbd23de 66bf94e f148c08 bbd23de 11a8ea8 bbd23de |
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 |
---
library_name: transformers
license: apache-2.0
base_model: latterworks/highlightedreport-classifier-test
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: highlightedreport-classifier-test
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. -->
# highlightedreport-classifier-test
This model is a fine-tuned version of [latterworks/highlightedreport-classifier-test](https://huggingface.co/latterworks/highlightedreport-classifier-test) on the None dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.92
- Loss: 0.2358
- F1: 0.9184
- Precision: 0.9
- Recall: 0.9375
## 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: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:--------:|:---------------:|:------:|:---------:|:------:|
| No log | 1.25 | 10 | 0.92 | 0.2239 | 0.9184 | 0.9 | 0.9375 |
| No log | 2.5 | 20 | 0.92 | 0.2234 | 0.9184 | 0.9 | 0.9375 |
| No log | 3.75 | 30 | 0.92 | 0.2287 | 0.9184 | 0.9 | 0.9375 |
| No log | 5.0 | 40 | 0.93 | 0.2174 | 0.9278 | 0.9184 | 0.9375 |
| No log | 6.25 | 50 | 0.92 | 0.2321 | 0.9184 | 0.9 | 0.9375 |
| No log | 7.5 | 60 | 0.93 | 0.2208 | 0.9278 | 0.9184 | 0.9375 |
| No log | 8.75 | 70 | 0.92 | 0.2357 | 0.9184 | 0.9 | 0.9375 |
| No log | 10.0 | 80 | 0.92 | 0.2358 | 0.9184 | 0.9 | 0.9375 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
|