ubaada commited on
Commit
44ac826
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End of training

Browse files
README.md CHANGED
@@ -12,14 +12,15 @@ 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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  # pegasus-x-large-booksum-16k
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  This model is a fine-tuned version of [ubaada/pegasus-x-large-booksum-16k](https://huggingface.co/ubaada/pegasus-x-large-booksum-16k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9460
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- - Rouge1: 0.3363
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- - Rouge2: 0.0569
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- - Rougel: 0.1490
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  ## Model description
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@@ -38,36 +39,26 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 4e-05
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  - train_batch_size: 8
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  - eval_batch_size: 1
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  - seed: 42
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- - distributed_type: multi-GPU
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- - num_devices: 2
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 64
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- - total_eval_batch_size: 2
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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: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
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- | 1.3846 | 0.9992 | 314 | 1.9879 | 0.2983 | 0.0463 | 0.1367 |
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- | 1.1051 | 1.9992 | 628 | 1.9696 | 0.3354 | 0.0549 | 0.1373 |
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- | 1.0564 | 2.9992 | 942 | 1.9652 | 0.3215 | 0.0526 | 0.1427 |
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- | 1.0657 | 3.9992 | 1256 | 1.9545 | 0.3370 | 0.0579 | 0.1424 |
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- | 0.9694 | 4.9984 | 1570 | 1.9517 | 0.3766 | 0.0721 | 0.1532 |
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- | 1.0343 | 5.9976 | 1884 | 1.9474 | 0.3558 | 0.0638 | 0.1488 |
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- | 1.3146 | 7.0 | 2199 | 1.9475 | 0.3443 | 0.0568 | 0.1440 |
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- | 0.9008 | 7.9960 | 2512 | 1.9460 | 0.3363 | 0.0569 | 0.1490 |
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  ### Framework versions
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- - Transformers 4.40.2
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  - Pytorch 2.2.0
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  - Datasets 2.19.1
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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/theubaada/huggingface/runs/fvqvjsw6)
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  # pegasus-x-large-booksum-16k
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  This model is a fine-tuned version of [ubaada/pegasus-x-large-booksum-16k](https://huggingface.co/ubaada/pegasus-x-large-booksum-16k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8948
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+ - Rouge1: 0.3044
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+ - Rouge2: 0.0517
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+ - Rougel: 0.1398
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 8e-05
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  - train_batch_size: 8
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  - eval_batch_size: 1
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  - seed: 42
 
 
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
 
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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 | Rouge1 | Rouge2 | Rougel |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
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+ | 1.3001 | 0.9992 | 314 | 1.8948 | 0.3044 | 0.0517 | 0.1398 |
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.41.0
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  - Pytorch 2.2.0
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -54,7 +54,7 @@
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  "vocab_size": 96103
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  }
 
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  "stagger_local_blocks": true,
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  "static_position_embeddings": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.0",
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  "use_cache": true,
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  "vocab_size": 96103
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  }
generation_config.json CHANGED
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