Model save

README.md

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+---
+license: mit
+base_model: intfloat/multilingual-e5-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: digidawfinal_E5small
+  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. -->
+
+# digidawfinal_E5small
+
+This model is a fine-tuned version of [intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6421
+- Accuracy: 0.809
+- Precision: 0.3047
+- Recall: 0.3371
+- F1: 0.3118
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.3384        | 1.0   | 157  | 0.7615          | 0.803    | 0.1933    | 0.1749 | 0.1757 |
+| 1.0082        | 2.0   | 314  | 0.6585          | 0.804    | 0.3053    | 0.3368 | 0.3102 |
+| 0.8286        | 3.0   | 471  | 0.6421          | 0.809    | 0.3047    | 0.3371 | 0.3118 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1