Training Completed!!
Browse files- README.md +61 -0
- config.json +55 -0
- generation_config.json +13 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +110 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +117 -0
- training_args.bin +3 -0
README.md
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---
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base_model: google/pegasus-cnn_dailymail
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tags:
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- generated_from_trainer
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datasets:
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- samsum
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model-index:
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- name: pegasus-samsum
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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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# pegasus-samsum
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4880
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 16
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6315 | 0.54 | 500 | 1.4880 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "google/pegasus-cnn_dailymail",
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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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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 16,
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"decoder_start_token_id": 0,
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"dropout": 0.1,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 16,
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"eos_token_id": 1,
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"extra_pos_embeddings": 1,
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"forced_eos_token_id": 1,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"length_penalty": 0.8,
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"max_length": 128,
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"max_position_embeddings": 1024,
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"min_length": 32,
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"model_type": "pegasus",
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"normalize_before": true,
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"normalize_embedding": false,
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"num_beams": 8,
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"num_hidden_layers": 16,
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"pad_token_id": 0,
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"scale_embedding": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.33.3",
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"use_cache": true,
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"vocab_size": 96103
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"forced_eos_token_id": 1,
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"length_penalty": 0.8,
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"max_length": 128,
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"min_length": 32,
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"num_beams": 8,
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"pad_token_id": 0,
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"transformers_version": "4.33.3"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:015f679ab247d7a845263b2d6979a5c48fee74d234b9cf3718c20ac6fee9f19e
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size 2283804653
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special_tokens_map.json
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{
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:0015189ef36359283fec8b93cf6d9ce51bca37eb1101defc68a53b394913b96c
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size 1912529
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tokenizer.json
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See raw diff
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tokenizer_config.json
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"unk_token": "<unk>"
|
117 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:a442900f8b9b245155a5e1c821654b541b9eca1dcc4250c8f4148d25424b0b6a
|
3 |
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size 4027
|