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update model card README.md

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+ ---
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+ license: bigscience-bloom-rail-1.0
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ - recall
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+ - precision
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+ model-index:
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+ - name: sentiment-bloom-e6-b16
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # sentiment-bloom-e6-b16
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.2903
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+ - F1: 0.6792
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+ - Recall: 0.6792
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+ - Precision: 0.6792
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 6
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Precision |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 375 | 1.6115 | 0.3208 | 0.3208 | 0.3208 |
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+ | 1.0514 | 2.0 | 750 | 1.4880 | 0.6685 | 0.6685 | 0.6685 |
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+ | 0.3197 | 3.0 | 1125 | 2.6035 | 0.5876 | 0.5876 | 0.5876 |
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+ | 0.1369 | 4.0 | 1500 | 4.2285 | 0.6550 | 0.6550 | 0.6550 |
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+ | 0.1369 | 5.0 | 1875 | 7.1198 | 0.6927 | 0.6927 | 0.6927 |
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+ | 0.0228 | 6.0 | 2250 | 6.2903 | 0.6792 | 0.6792 | 0.6792 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3