dhanesh123in
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End of training
Browse files
README.md
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---
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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-no-mlp-attn-12
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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-no-mlp-attn-12
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This model is a fine-tuned version of [](https://huggingface.co/) on the eli5_category dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.3354
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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: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 5.1962 | 1.0 | 3582 | 4.9830 |
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| 4.8627 | 2.0 | 7164 | 4.6873 |
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| 4.7021 | 3.0 | 10746 | 4.5549 |
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| 4.6082 | 4.0 | 14328 | 4.4773 |
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| 4.5405 | 5.0 | 17910 | 4.4202 |
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| 4.4938 | 6.0 | 21492 | 4.3894 |
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| 4.4539 | 7.0 | 25074 | 4.3626 |
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| 4.4373 | 8.0 | 28656 | 4.3480 |
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| 4.4261 | 9.0 | 32238 | 4.3379 |
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| 4.4208 | 10.0 | 35820 | 4.3354 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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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": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.42.3"
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}
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runs/Jul05_16-35-11_morpheus/events.out.tfevents.1720177512.morpheus.761500.0
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size
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size 23165
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runs/Jul05_16-35-11_morpheus/events.out.tfevents.1720186872.morpheus.761500.1
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size 364
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