End of training
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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-large-no-mlp-attn-36
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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-large-no-mlp-attn-36
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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: 3.7775
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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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| 4.3559 | 1.0 | 3582 | 4.2432 |
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| 4.0843 | 2.0 | 7164 | 4.0358 |
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| 3.9495 | 3.0 | 10746 | 3.9407 |
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| 3.8667 | 4.0 | 14328 | 3.8837 |
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| 3.8039 | 5.0 | 17910 | 3.8424 |
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| 3.7575 | 6.0 | 21492 | 3.8177 |
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| 3.7185 | 7.0 | 25074 | 3.7990 |
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| 3.6974 | 8.0 | 28656 | 3.7878 |
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| 3.6828 | 9.0 | 32238 | 3.7794 |
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| 3.671 | 10.0 | 35820 | 3.7775 |
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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/Jul06_22-53-01_morpheus/events.out.tfevents.1720286582.morpheus.10192.0
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version https://git-lfs.github.com/spec/v1
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size
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size 23208
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runs/Jul06_22-53-01_morpheus/events.out.tfevents.1720321483.morpheus.10192.1
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version https://git-lfs.github.com/spec/v1
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size 364
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