cnn tunned

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- cnn_dailymail
+metrics:
+- rouge
+model-index:
+- name: base
+  results:
+  - task:
+      name: Summarization
+      type: summarization
+    dataset:
+      name: cnn_dailymail 3.0.0
+      type: cnn_dailymail
+      config: 3.0.0
+      split: validation
+      args: 3.0.0
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 42.1388
+---
+
+<!-- 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. -->
+
+# base
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the cnn_dailymail 3.0.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4232
+- Rouge1: 42.1388
+- Rouge2: 19.7696
+- Rougel: 30.1512
+- Rougelsum: 39.3222
+- Gen Len: 71.8562
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.12.1

all_results.json

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+    "eval_rouge2": 19.7696,
+    "eval_rougeL": 30.1512,
+    "eval_rougeLsum": 39.3222,
+    "eval_runtime": 5105.1849,
+    "eval_samples": 13368,
+    "eval_samples_per_second": 2.619,
+    "eval_steps_per_second": 0.655,
+    "train_loss": 1.63751159477489,
+    "train_runtime": 129707.2979,
+    "train_samples": 287113,
+    "train_samples_per_second": 6.641,
+    "train_steps_per_second": 0.104
+}

config.json

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+  ],
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+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
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+  "num_heads": 12,
+  "num_layers": 12,
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+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
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+      "max_length": 200,
+      "min_length": 30,
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+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

eval_results.json

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+    "eval_loss": 1.4231998920440674,
+    "eval_rouge1": 42.1388,
+    "eval_rouge2": 19.7696,
+    "eval_rougeL": 30.1512,
+    "eval_rougeLsum": 39.3222,
+    "eval_runtime": 5105.1849,
+    "eval_samples": 13368,
+    "eval_samples_per_second": 2.619,
+    "eval_steps_per_second": 0.655
+}

generation_config.json

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.27.0.dev0"
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