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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-base-hai
+  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-base-hai
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6881
+- Rouge1: 39.7841
+- Rouge2: 29.2031
+- Rougel: 36.6883
+- Rougelsum: 37.533
+- Gen Len: 17.5106
+
+## 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 | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 118  | 0.9586          | 35.7723 | 22.9975 | 32.3447 | 33.2069   | 17.4894 |
+| No log        | 2.0   | 236  | 0.8239          | 36.2962 | 24.2274 | 33.1222 | 33.8173   | 17.5447 |
+| No log        | 3.0   | 354  | 0.7414          | 38.4245 | 27.3598 | 35.4793 | 36.3822   | 17.6596 |
+| No log        | 4.0   | 472  | 0.6988          | 39.386  | 28.7308 | 36.4217 | 37.2752   | 17.5277 |
+| 0.8817        | 5.0   | 590  | 0.6881          | 39.7841 | 29.2031 | 36.6883 | 37.533    | 17.5106 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3

config.json

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+  "_name_or_path": "google/flan-t5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "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": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
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+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
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+      "prefix": "translate English to German: "
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+      "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": "4.30.2",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+}

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