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.gitignore

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+checkpoint-*/

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-small-carvia_nlc2cmd_ver2
+  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-carvia_nlc2cmd_ver2
+
+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:
+- Loss: 0.1225
+- Rouge1: 83.9262
+- Rouge2: 59.9956
+- Rougel: 83.9262
+- Rougelsum: 83.9381
+- Gen Len: 19.0
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.1152        | 1.0   | 1625 | 0.1225          | 83.9262 | 59.9956 | 83.9262 | 83.9381   | 19.0    |
+| 0.1126        | 2.0   | 3250 | 0.1560          | 79.3619 | 51.4444 | 79.3857 | 79.3357   | 19.0    |
+| 0.1083        | 3.0   | 4875 | 0.1682          | 80.4274 | 53.4222 | 80.4655 | 80.4167   | 19.0    |
+| 0.1066        | 4.0   | 6500 | 0.1785          | 79.3393 | 51.3667 | 79.3524 | 79.2964   | 19.0    |
+| 0.1079        | 5.0   | 8125 | 0.1793          | 79.3119 | 51.3222 | 79.3357 | 79.2833   | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.3
+- Tokenizers 0.13.3

config.json

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+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
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+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
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+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
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+  "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,
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+      "prefix": "translate English to German: "
+    },
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+      "prefix": "translate English to French: "
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+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+}

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