End of training

README.md

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+---
+license: bigscience-bloom-rail-1.0
+library_name: peft
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+base_model: bigscience/bloom-560m
+model-index:
+- name: 4bit-emotion-detection
+  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. -->
+
+# 4bit-emotion-detection
+
+This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1495
+- Accuracy: 0.342
+- F1: 0.3287
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 750
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 4.1982        | 1.0   | 250  | 4.4680          | 0.2805   | 0.2586 |
+| 2.5719        | 2.0   | 500  | 2.4286          | 0.3145   | 0.3057 |
+| 1.8911        | 3.0   | 750  | 2.1495          | 0.342    | 0.3287 |
+
+
+### Framework versions
+
+- PEFT 0.8.0
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.1

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