End of training
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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: distilbert/distilbert-base-multilingual-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: adl_hw1_qa_model
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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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# adl_hw1_qa_model
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This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4525
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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: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.9956 | 169 | 1.9320 |
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| No log | 1.9971 | 339 | 1.5318 |
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| 2.0835 | 2.9867 | 507 | 1.4525 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Sep21_03-34-36_91a514199094/events.out.tfevents.1726889677.91a514199094.845.2
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