End of training

README.md

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+---
+license: mit
+base_model: VietAI/vit5-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: vit5-base_sentiment
+  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. -->
+
+# vit5-base_sentiment
+
+This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8273
+- F1: 0.6438
+- Accuracy: 0.6875
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1     | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:------:|:--------:|
+| 0.8932        | 0.9984 | 312  | 0.7780          | 0.6134 | 0.669    |
+| 0.7353        | 2.0    | 625  | 0.7549          | 0.6252 | 0.6745   |
+| 0.6538        | 2.9984 | 937  | 0.7768          | 0.6320 | 0.6805   |
+| 0.5827        | 4.0    | 1250 | 0.7904          | 0.6379 | 0.6865   |
+| 0.5204        | 4.992  | 1560 | 0.8273          | 0.6438 | 0.6875   |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Aug20_14-30-52_speech.local/events.out.tfevents.1724139054.speech.local

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