| | --- |
| | license: bigscience-bloom-rail-1.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - recall |
| | - precision |
| | model-index: |
| | - name: sentiment-bloom-e6-b16 |
| | 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. --> |
| |
|
| | # sentiment-bloom-e6-b16 |
| |
|
| | This model is a fine-tuned version of [LYTinn/bloom-finetuning-sentiment-model-3000-samples](https://huggingface.co/LYTinn/bloom-finetuning-sentiment-model-3000-samples) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 6.2903 |
| | - F1: 0.6792 |
| | - Recall: 0.6792 |
| | - Precision: 0.6792 |
| |
|
| | ## 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: 6 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Precision | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:| |
| | | No log | 1.0 | 375 | 1.6115 | 0.3208 | 0.3208 | 0.3208 | |
| | | 1.0514 | 2.0 | 750 | 1.4880 | 0.6685 | 0.6685 | 0.6685 | |
| | | 0.3197 | 3.0 | 1125 | 2.6035 | 0.5876 | 0.5876 | 0.5876 | |
| | | 0.1369 | 4.0 | 1500 | 4.2285 | 0.6550 | 0.6550 | 0.6550 | |
| | | 0.1369 | 5.0 | 1875 | 7.1198 | 0.6927 | 0.6927 | 0.6927 | |
| | | 0.0228 | 6.0 | 2250 | 6.2903 | 0.6792 | 0.6792 | 0.6792 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.30.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
