Model save

README.md

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+---
+license: mit
+base_model: avsolatorio/GIST-small-Embedding-v0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: GIST-small-Embedding-v0-finetuned
+  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. -->
+
+# GIST-small-Embedding-v0-finetuned
+
+This model is a fine-tuned version of [avsolatorio/GIST-small-Embedding-v0](https://huggingface.co/avsolatorio/GIST-small-Embedding-v0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5441
+- Accuracy: 0.75
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 23   | 0.5764          | 0.675    |
+| No log        | 2.0   | 46   | 0.5598          | 0.7      |
+| No log        | 3.0   | 69   | 0.5441          | 0.75     |
+| No log        | 4.0   | 92   | 0.5355          | 0.75     |
+| No log        | 5.0   | 115  | 0.5432          | 0.75     |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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