Model save
Browse files- README.md +62 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: NourFakih/Vit-GPT2-COCO2017Flickr-80k-08
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tags:
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- generated_from_trainer
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model-index:
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- name: Vit-GPT2-COCO2017Flickr-85k-09
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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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# Vit-GPT2-COCO2017Flickr-85k-09
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This model is a fine-tuned version of [NourFakih/Vit-GPT2-COCO2017Flickr-80k-08](https://huggingface.co/NourFakih/Vit-GPT2-COCO2017Flickr-80k-08) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.5351
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- eval_rouge1: 39.4446
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- eval_rouge2: 14.1599
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- eval_rougeL: 35.6123
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- eval_rougeLsum: 35.5846
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- eval_gen_len: 11.738
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- eval_runtime: 463.8252
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- eval_samples_per_second: 8.624
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- eval_steps_per_second: 2.156
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- epoch: 0.0933
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- step: 500
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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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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"bos_token_id": 50256,
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"decoder_start_token_id": 50256,
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"eos_token_id": 50256,
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"pad_token_id": 50256,
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"transformers_version": "4.41.2"
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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 956835520
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version https://git-lfs.github.com/spec/v1
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oid sha256:cac2f74503637b00bae0622a6b91fafb0ee35624e1f8d4a77a49b08ae00d2341
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size 956835520
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