End of training

README.md

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+---
+license: apache-2.0
+base_model: google/bigbird-pegasus-large-pubmed
+tags:
+- generated_from_trainer
+model-index:
+- name: summarize_by_ernie
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# summarize_by_ernie
+
+This model is a fine-tuned version of [google/bigbird-pegasus-large-pubmed](https://huggingface.co/google/bigbird-pegasus-large-pubmed) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.6568
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 5.5203        | 1.0   | 989  | 4.7508          |
+| 4.8502        | 2.0   | 1978 | 4.6694          |
+| 4.831         | 3.0   | 2967 | 4.6595          |
+| 4.7621        | 4.0   | 3956 | 4.6578          |
+| 4.7524        | 5.0   | 4945 | 4.6568          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "google/bigbird-pegasus-large-pubmed",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu_new",
+  "architectures": [
+    "BigBirdPegasusForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "attention_type": "block_sparse",
+  "block_size": 64,
+  "bos_token_id": 2,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 16,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 16,
+  "eos_token_id": 1,
+  "gradient_checkpointing": false,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "length_penalty": 0.8,
+  "max_length": 256,
+  "max_position_embeddings": 4096,
+  "model_type": "bigbird_pegasus",
+  "num_beams": 5,
+  "num_hidden_layers": 16,
+  "num_random_blocks": 3,
+  "pad_token_id": 0,
+  "scale_embedding": true,
+  "tokenizer_class": "PegasusTokenizer",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_bias": false,
+  "use_cache": true,
+  "vocab_size": 96103
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 1,
+  "length_penalty": 0.8,
+  "max_length": 256,
+  "num_beams": 5,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}

model.safetensors

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+size 1154033846

special_tokens_map.json

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+{
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+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+    "rstrip": false,
+    "single_word": false
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+}

spiece.model

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+size 1915455

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
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+      "single_word": false,
+      "special": true
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "eos_token": "</s>",
+  "mask_token": "[MASK]",
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+  "model_max_length": 4096,
+  "offset": 0,
+  "pad_token": "<pad>",
+  "sep_token": "[SEP]",
+  "tokenizer_class": "PegasusTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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