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first train result

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-small-tldr-50k
+  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. -->
+
+# flan-t5-small-tldr-50k
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Gen Len: 16.4422
+- Loss: 3.2423
+- Rouge1: 14.7049
+- Rouge2: 3.2396
+- Rougel: 12.5104
+- Rougelsum: 12.9681
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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  | Gen Len | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 3.5507        | 1.0   | 5625  | 16.1424 | 3.2752          | 14.2302 | 2.9853 | 12.1734 | 12.5894   |
+| 3.4842        | 2.0   | 11250 | 16.1126 | 3.2569          | 14.3966 | 3.0939 | 12.2437 | 12.6705   |
+| 3.4288        | 3.0   | 16875 | 16.39   | 3.2481          | 14.6879 | 3.2647 | 12.5199 | 12.9681   |
+| 3.4176        | 4.0   | 22500 | 16.2948 | 3.2432          | 14.7198 | 3.2693 | 12.5436 | 12.9885   |
+| 3.4033        | 5.0   | 28125 | 16.4422 | 3.2423          | 14.7049 | 3.2396 | 12.5104 | 12.9681   |
+
+
+### Framework versions
+
+- Transformers 4.27.3
+- Pytorch 1.13.1
+- Datasets 2.10.1
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "google/flan-t5-small",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
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+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
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+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
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+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.3",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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