---
license: apache-2.0
base_model: Ariffiq99/e_care_albert_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_e_care_albert_base_finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# CRAB_e_care_albert_base_finetuned

This model is a fine-tuned version of [Ariffiq99/e_care_albert_base_finetuned](https://huggingface.co/Ariffiq99/e_care_albert_base_finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9207
- F1: 0.7542

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.3388        | 1.0   | 2880  | 0.9947          | 0.6764 |
| 1.1132        | 2.0   | 5760  | 0.9873          | 0.7014 |
| 0.9603        | 3.0   | 8640  | 0.9336          | 0.7042 |
| 0.8822        | 4.0   | 11520 | 1.0785          | 0.7319 |
| 0.6611        | 5.0   | 14400 | 0.9716          | 0.7222 |
| 0.6889        | 6.0   | 17280 | 0.9399          | 0.7431 |
| 0.6531        | 7.0   | 20160 | 0.9115          | 0.7444 |
| 0.7174        | 8.0   | 23040 | 0.9207          | 0.7542 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1