End of training

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README.md

@@ -0,0 +1,83 @@
+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-DEPlain
+  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. -->
+
+# mt5-small-finetuned-DEPlain
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6826
+- Rouge1: 55.2811
+- Rouge2: 33.4022
+- Rougel: 49.0555
+- Rougelsum: 49.8535
+- Gen Len: 16.3063
+
+## 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: 2e-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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 6.1176        | 1.0   | 1333  | 2.2908          | 44.5349 | 24.6346 | 39.4206 | 40.1782   | 14.1202 |
+| 2.9848        | 2.0   | 2666  | 2.0502          | 50.238  | 29.4215 | 44.3707 | 45.2709   | 15.4249 |
+| 2.7551        | 3.0   | 3999  | 1.9383          | 52.4619 | 30.9025 | 46.0413 | 47.0121   | 15.814  |
+| 2.5148        | 4.0   | 5332  | 1.8737          | 53.5574 | 31.7729 | 47.2411 | 48.1681   | 15.9764 |
+| 2.3973        | 5.0   | 6665  | 1.8404          | 54.3931 | 32.4048 | 47.8747 | 48.7838   | 16.1422 |
+| 2.3364        | 6.0   | 7998  | 1.7939          | 54.1979 | 32.253  | 47.8117 | 48.6785   | 16.0699 |
+| 2.2807        | 7.0   | 9331  | 1.7804          | 54.3636 | 32.486  | 48.0067 | 48.8565   | 16.1324 |
+| 2.2326        | 8.0   | 10664 | 1.7678          | 54.7743 | 32.7932 | 48.3657 | 49.1933   | 16.1608 |
+| 2.1839        | 9.0   | 11997 | 1.7436          | 54.8052 | 32.8554 | 48.4859 | 49.3042   | 16.2047 |
+| 2.1508        | 10.0  | 13330 | 1.7309          | 54.8064 | 32.8648 | 48.4888 | 49.3149   | 16.1779 |
+| 2.1245        | 11.0  | 14663 | 1.7251          | 55.0598 | 33.1609 | 48.7331 | 49.6079   | 16.2705 |
+| 2.1003        | 12.0  | 15996 | 1.7104          | 54.9449 | 33.1058 | 48.7477 | 49.5681   | 16.2185 |
+| 2.0486        | 13.0  | 17329 | 1.6998          | 55.2225 | 33.3383 | 48.9821 | 49.8075   | 16.2494 |
+| 2.0494        | 14.0  | 18662 | 1.6966          | 55.1758 | 33.3602 | 48.9134 | 49.7473   | 16.2648 |
+| 2.0307        | 15.0  | 19995 | 1.6912          | 55.2276 | 33.3542 | 49.0322 | 49.8302   | 16.2721 |
+| 2.0296        | 16.0  | 21328 | 1.6845          | 55.153  | 33.289  | 48.8609 | 49.7004   | 16.2754 |
+| 2.01          | 17.0  | 22661 | 1.6842          | 55.3664 | 33.4755 | 49.1395 | 49.9518   | 16.3168 |
+| 1.989         | 18.0  | 23994 | 1.6836          | 55.2333 | 33.3763 | 49.0259 | 49.8265   | 16.2794 |
+| 2.0067        | 19.0  | 25327 | 1.6829          | 55.3122 | 33.4023 | 49.1034 | 49.8989   | 16.3022 |
+| 2.0174        | 20.0  | 26660 | 1.6826          | 55.2811 | 33.4022 | 49.0555 | 49.8535   | 16.3063 |
+
+
+### 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": "google/mt5-small",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
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+  "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": "mt5",
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+  "num_heads": 6,
+  "num_layers": 8,
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+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.2"
+}

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