Model save
Browse files- README.md +73 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
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---
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base_model: aubmindlab/aragpt2-base
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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- rouge
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model-index:
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- name: res_nw_gulf_aragpt2-base
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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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# res_nw_gulf_aragpt2-base
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This model is a fine-tuned version of [aubmindlab/aragpt2-base](https://huggingface.co/aubmindlab/aragpt2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0538
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- Bleu: 0.0653
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- Rouge1: 0.4167
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- Rouge2: 0.1755
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- Rougel: 0.4150
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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: 5e-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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 20.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
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| 1.1245 | 1.0 | 836 | 0.0605 | 0.0052 | 0.1626 | 0.0162 | 0.1602 |
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| 0.0632 | 2.0 | 1672 | 0.0552 | 0.0119 | 0.2541 | 0.0517 | 0.2511 |
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| 0.055 | 3.0 | 2508 | 0.0522 | 0.0225 | 0.3047 | 0.0819 | 0.3015 |
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| 0.0492 | 4.0 | 3344 | 0.0510 | 0.0326 | 0.3347 | 0.1019 | 0.3318 |
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| 0.0444 | 5.0 | 4180 | 0.0499 | 0.0393 | 0.3590 | 0.1242 | 0.3572 |
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| 0.0402 | 6.0 | 5016 | 0.0500 | 0.0462 | 0.3810 | 0.1379 | 0.3788 |
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| 0.0366 | 7.0 | 5852 | 0.0503 | 0.0499 | 0.3961 | 0.1525 | 0.3938 |
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| 0.0334 | 8.0 | 6688 | 0.0509 | 0.0561 | 0.4071 | 0.1598 | 0.4052 |
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| 0.0307 | 9.0 | 7524 | 0.0517 | 0.0607 | 0.4101 | 0.1732 | 0.4086 |
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| 0.0283 | 10.0 | 8360 | 0.0538 | 0.0653 | 0.4167 | 0.1755 | 0.4150 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.2
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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": 0,
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"transformers_version": "4.45.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 540004992
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version https://git-lfs.github.com/spec/v1
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oid sha256:cde6425e0fc1b7e23fd7954d7de43554e1b5f23d0f31264ab5fde4e8b9eba914
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size 540004992
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