End of training
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README.md
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---
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license: mit
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base_model: facebook/data2vec-text-base
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tags:
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- generated_from_trainer
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datasets:
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- eli5_category
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model-index:
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- name: my_awesome_eli5_clm-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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# my_awesome_eli5_clm-model
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This model is a fine-tuned version of [facebook/data2vec-text-base](https://huggingface.co/facebook/data2vec-text-base) on the eli5_category dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1861
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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: 8
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- eval_batch_size: 8
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- seed: 42
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.3769 | 1.0 | 1308 | 0.4386 |
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| 0.297 | 2.0 | 2616 | 0.2118 |
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| 0.2149 | 3.0 | 3924 | 0.1861 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.40.0"
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}
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model.safetensors
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size 498815140
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runs/Apr26_02-57-22_3df6639c2e96/events.out.tfevents.1714100243.3df6639c2e96.1671.0
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runs/Apr26_02-57-22_3df6639c2e96/events.out.tfevents.1714100909.3df6639c2e96.1671.1
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size 359
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