End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- sacrebleu
+model-index:
+- name: mT5-TextSimp-LT-BatchSize8-lr1e-4
+  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-TextSimp-LT-BatchSize8-lr1e-4
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0826
+- Rouge1: 0.6956
+- Rouge2: 0.532
+- Rougel: 0.6875
+- Sacrebleu: 41.0349
+- Gen Len: 38.0501
+
+## 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: 0.0001
+- 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 22.5133       | 0.96  | 200  | 14.4822         | 0.0057 | 0.0    | 0.0056 | 0.0013    | 512.0   |
+| 1.0276        | 1.91  | 400  | 0.7352          | 0.022  | 0.0005 | 0.0215 | 0.0232    | 41.4702 |
+| 0.6477        | 2.87  | 600  | 1.5193          | 0.1021 | 0.012  | 0.0954 | 0.0573    | 83.3723 |
+| 0.1784        | 3.83  | 800  | 0.1149          | 0.6014 | 0.4222 | 0.5898 | 32.2723   | 38.0501 |
+| 0.158         | 4.78  | 1000 | 0.0930          | 0.6546 | 0.4822 | 0.6463 | 37.3842   | 38.0501 |
+| 0.1059        | 5.74  | 1200 | 0.0884          | 0.6714 | 0.4983 | 0.6635 | 39.0129   | 38.0501 |
+| 0.1542        | 6.7   | 1400 | 0.0830          | 0.688  | 0.5184 | 0.6803 | 40.419    | 38.0501 |
+| 0.1206        | 7.66  | 1600 | 0.0826          | 0.6956 | 0.532  | 0.6875 | 41.0349   | 38.0501 |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.0"
+}

special_tokens_map.json

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+{
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

spiece.model

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+oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
+size 4309802

tokenizer_config.json

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+{
+  "additional_special_tokens": null,
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "extra_ids": 0,
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "tokenizer_file": null,
+  "unk_token": "<unk>"
+}