End of training
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README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: AI-Sweden-Models/gpt-sw3-1.3b
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model-index:
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- name: gpt_icesum
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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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# gpt_icesum
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This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7824
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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: 4
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- eval_batch_size: 4
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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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.9553 | 0.22 | 50 | 1.8683 |
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| 1.9425 | 0.44 | 100 | 1.8240 |
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| 1.8376 | 0.67 | 150 | 1.8040 |
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| 2.0224 | 0.89 | 200 | 1.7953 |
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| 1.8172 | 1.11 | 250 | 1.7903 |
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| 1.9457 | 1.33 | 300 | 1.7875 |
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| 1.8177 | 1.56 | 350 | 1.7853 |
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| 1.82 | 1.78 | 400 | 1.7837 |
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| 1.9207 | 2.0 | 450 | 1.7830 |
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| 1.7946 | 2.22 | 500 | 1.7832 |
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| 1.8675 | 2.44 | 550 | 1.7828 |
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| 1.8384 | 2.67 | 600 | 1.7826 |
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| 1.9814 | 2.89 | 650 | 1.7824 |
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.38.1
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- Pytorch 2.2.0+cu118
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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