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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Snowflake/snowflake-arctic-embed-m
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- accuracy
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model-index:
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- name: fine-pdfs-classification-teacher-eng_Latn-Qwen_Qwen3-235B-A22B-Instruct-2507
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results: []
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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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# fine-pdfs-classification-teacher-eng_Latn-Qwen_Qwen3-235B-A22B-Instruct-2507
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This model is a fine-tuned version of [Snowflake/snowflake-arctic-embed-m](https://huggingface.co/Snowflake/snowflake-arctic-embed-m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4544
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- Precision: 0.3799
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- Recall: 0.4556
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- F1 Macro: 0.3676
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- Accuracy: 0.5902
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 0
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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| No log | 0 | 0 | 0.9675 | 0.0565 | 0.1667 | 0.0844 | 0.3390 |
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| 0.1576 | 5.2632 | 200 | 0.3812 | 0.3724 | 0.4520 | 0.3612 | 0.5924 |
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| 0.0169 | 10.5263 | 400 | 0.4330 | 0.3555 | 0.4593 | 0.3627 | 0.5895 |
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| 0.0019 | 15.7895 | 600 | 0.4544 | 0.3799 | 0.4556 | 0.3676 | 0.5902 |
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### Framework versions
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- Transformers 4.55.2
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- Pytorch 2.7.1+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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