Training complete

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mT5
+  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
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.3770
+- Rouge1: 7.972
+- Rouge2: 1.6667
+- Rougel: 7.972
+- Rougelsum: 6.4336
+
+## 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: 5.6e-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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 22.553        | 1.0   | 7    | 12.1593         | 7.972  | 1.6667 | 7.972  | 6.4336    |
+| 20.0448       | 2.0   | 14   | 8.1176          | 7.972  | 1.6667 | 7.972  | 6.4336    |
+| 17.5194       | 3.0   | 21   | 7.7753          | 7.972  | 1.6667 | 7.972  | 6.4336    |
+| 18.608        | 4.0   | 28   | 7.6868          | 7.972  | 1.6667 | 7.972  | 6.4336    |
+| 15.8009       | 5.0   | 35   | 7.4422          | 7.972  | 1.6667 | 7.972  | 6.4336    |
+| 16.2277       | 6.0   | 42   | 7.8053          | 7.972  | 1.6667 | 7.972  | 6.4336    |
+| 16.2949       | 7.0   | 49   | 7.8086          | 7.972  | 1.6667 | 7.972  | 6.4336    |
+| 15.1347       | 8.0   | 56   | 7.3770          | 7.972  | 1.6667 | 7.972  | 6.4336    |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "google/mt5-small",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "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",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.1",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.1"
+}

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special_tokens_map.json

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tokenizer_config.json

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+}

training_args.bin

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