iman37 commited on
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End of training

Browse files
README.md CHANGED
@@ -13,13 +13,14 @@ model-index:
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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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  # my_awesome_opus_books_model
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2214
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- - Bleu: 0.193
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- - Gen Len: 17.9254
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  ## Model description
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@@ -39,8 +40,8 @@ More information needed
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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: 16
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- - eval_batch_size: 16
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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
@@ -51,13 +52,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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- | 0.2356 | 1.0 | 17439 | 0.2249 | 0.2058 | 18.0404 |
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- | 0.2338 | 2.0 | 34878 | 0.2214 | 0.193 | 17.9254 |
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  ### Framework versions
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- - Transformers 4.42.4
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- - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/iman3710-pravaah-consulting/huggingface/runs/d1plxq5b)
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  # my_awesome_opus_books_model
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2237
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+ - Bleu: 0.1936
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+ - Gen Len: 17.9779
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  ## Model description
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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: 32
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+ - eval_batch_size: 32
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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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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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+ | 0.2431 | 1.0 | 8720 | 0.2272 | 0.1771 | 18.0655 |
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+ | 0.2381 | 2.0 | 17440 | 0.2237 | 0.1936 | 17.9779 |
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  ### Framework versions
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+ - Transformers 4.42.3
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+ - Pytorch 2.1.2
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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  "decoder_start_token_id": 0,
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  }
 
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  "eos_token_id": 1,
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  "pad_token_id": 0,
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+ "transformers_version": "4.42.3"
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  }
runs/Jul31_05-14-53_92c9c1583064/events.out.tfevents.1722402895.92c9c1583064.34.0 CHANGED
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