End of training
Browse files- README.md +71 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- pytorch_model.bin +1 -1
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- vocab.json +0 -0
README.md
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---
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base_model: VK246/IC_ver6K_coco_swin_gpt2_50A_1e
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tags:
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- generated_from_trainer
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datasets:
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- coco
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metrics:
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- rouge
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model-index:
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- name: IC_ver6L_coco_swin_gpt2_50B_1e
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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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# IC_ver6L_coco_swin_gpt2_50B_1e
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This model is a fine-tuned version of [VK246/IC_ver6K_coco_swin_gpt2_50A_1e](https://huggingface.co/VK246/IC_ver6K_coco_swin_gpt2_50A_1e) on the coco dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8371
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- Cider: 72.6054
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- Rouge1: 41.2906
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- Rouge2: 15.8851
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- Rougel: 37.3963
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- Rougelsum: 37.4014
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- Bleu-1: 42.3937
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- Bleu-2: 24.3104
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- Bleu-3: 15.291
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- Bleu-4: 10.0894
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- Gen Len: 11.3063
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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: 96
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- eval_batch_size: 96
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cider | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:-------:|
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| 0.4535 | 0.34 | 1000 | 0.9282 | 70.2558 | 40.6455 | 15.1383 | 36.6998 | 36.6999 | 41.838 | 23.6151 | 14.6823 | 9.6083 | 11.3063 |
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| 0.5716 | 0.68 | 2000 | 0.8371 | 72.6054 | 41.2906 | 15.8851 | 37.3963 | 37.4014 | 42.3937 | 24.3104 | 15.291 | 10.0894 | 11.3063 |
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### Framework versions
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- Transformers 4.32.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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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": "4.32.0"
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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version https://git-lfs.github.com/spec/v1
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oid sha256:1983df6168f589c413c59b2adde656116bc6a17bd92d1c74379907263974882e
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size 962051233
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"max_length": 32,
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"model_max_length": 1024,
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"pad_to_multiple_of": null,
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"pad_token": "<|endoftext|>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"stride": 0,
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"tokenizer_class": "GPT2Tokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<|endoftext|>"
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}
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vocab.json
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