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: utter-project/EuroLLM-1.7B-Instruct
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tags:
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- generated_from_trainer
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model-index:
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- name: rauma-gpt-1.7B-Instruct
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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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# rauma-gpt-1.7B-Instruct
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This model is a fine-tuned version of [utter-project/EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1424
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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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| 3.9481 | 1.0 | 808 | 3.0060 |
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| 1.994 | 2.0 | 1616 | 2.3556 |
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| 1.1262 | 3.0 | 2424 | 2.1424 |
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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 3.0.1
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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": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.44.2"
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}
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runs/Oct14_21-26-16_fd2598b50a10/events.out.tfevents.1728941179.fd2598b50a10.4988.0
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runs/Oct14_21-26-16_fd2598b50a10/events.out.tfevents.1728943404.fd2598b50a10.4988.1
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