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abdulmatinomotoso
/
seo-headline

Text2Text Generation
Transformers
TensorBoard
Safetensors
pegasus
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
abdulmatinomotoso commited on
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Training complete!

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Files changed (9) hide show
  1. README.md +60 -0
  2. config.json +58 -0
  3. generation_config.json +12 -0
  4. model.safetensors +3 -0
  5. runs/Feb04_11-10-18_363359de7fcc/events.out.tfevents.1707045033.363359de7fcc.2251.0 +3 -0
  6. special_tokens_map.json +128 -0
  7. spiece.model +3 -0
  8. tokenizer_config.json +967 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ base_model: google/pegasus-xsum
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: seo-headline
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+ results: []
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+ ---
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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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+
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+ # seo-headline
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+
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+ This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6142
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.8147 | 1.29 | 500 | 0.7243 |
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+ | 0.6643 | 2.58 | 1000 | 0.6142 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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+ {
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+ "activation_dropout": 0.1,
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+ "activation_function": "relu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": true,
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+ "architectures": [
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+ "PegasusForConditionalGeneration"
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+ ],
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+ "bos_token_id": 0,
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+ "classif_dropout": 0.0,
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+ "classifier_dropout": 0.0,
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+ "d_model": 1024,
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+ "decoder_attention_heads": 16,
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+ "eos_token_id": 1,
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+ "transformers_version": "4.35.2",
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+ "use_cache": true,
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+ "vocab_size": 96103
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+ }
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