End of training

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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: bart-large-cnn
+  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. -->
+
+# bart-large-cnn
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.8506
+- eval_rouge1: 0.3613
+- eval_rouge2: 0.0744
+- eval_rougeL: 0.1665
+- eval_rougeLsum: 0.3401
+- eval_gen_len: 385.8086
+- eval_runtime: 8322.7751
+- eval_samples_per_second: 0.151
+- eval_steps_per_second: 0.076
+- epoch: 0.99
+- step: 63
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+  "_name_or_path": "bart-large-cnn",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "add_final_layer_norm": false,
+  "architectures": [
+    "BartForConditionalGeneration"
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+  "force_bos_token_to_be_generated": true,
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+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
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+  "length_penalty": 2.0,
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+  "max_position_embeddings": 1024,
+  "min_length": 56,
+  "model_type": "bart",
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+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "prefix": " ",
+  "scale_embedding": false,
+  "task_specific_params": {
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+      "min_length": 56,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4
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+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 50264
+}

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generation_config.json

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generation_config_for_summarization.json

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