End of training

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- sacrebleu
+model-index:
+- name: mT5-TextSimp-LT-BatchSize4-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-BatchSize4-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: 0.0737
+- Rouge1: 0.7174
+- Rouge2: 0.5553
+- Rougel: 0.7108
+- Sacrebleu: 43.3127
+- 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: 4
+- eval_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 25.4634       | 0.48  | 200  | 18.5157         | 0.0061 | 0.0    | 0.0059 | 0.0008    | 512.0   |
+| 1.1451        | 0.96  | 400  | 0.6596          | 0.0161 | 0.0003 | 0.0154 | 0.0215    | 39.0453 |
+| 0.6441        | 1.44  | 600  | 0.4981          | 0.0272 | 0.0012 | 0.0259 | 0.0166    | 39.0453 |
+| 0.247         | 1.91  | 800  | 0.1420          | 0.4769 | 0.2826 | 0.465  | 20.3212   | 38.0501 |
+| 0.1549        | 2.39  | 1000 | 0.1032          | 0.6114 | 0.4299 | 0.5998 | 30.2603   | 38.0501 |
+| 0.1482        | 2.87  | 1200 | 0.0934          | 0.6592 | 0.4815 | 0.6496 | 34.4213   | 38.0501 |
+| 0.1163        | 3.35  | 1400 | 0.0867          | 0.6734 | 0.4968 | 0.6651 | 36.3741   | 38.0501 |
+| 0.1042        | 3.83  | 1600 | 0.0816          | 0.6826 | 0.5127 | 0.6753 | 38.128    | 38.0501 |
+| 0.1109        | 4.31  | 1800 | 0.0816          | 0.6893 | 0.5191 | 0.6818 | 39.3294   | 38.0501 |
+| 0.1029        | 4.78  | 2000 | 0.0798          | 0.6968 | 0.5284 | 0.6901 | 40.5064   | 38.0501 |
+| 0.0877        | 5.26  | 2200 | 0.0766          | 0.7006 | 0.5372 | 0.694  | 40.5295   | 38.0501 |
+| 0.0748        | 5.74  | 2400 | 0.0759          | 0.7092 | 0.5403 | 0.7028 | 41.4424   | 38.0501 |
+| 0.0941        | 6.22  | 2600 | 0.0754          | 0.7134 | 0.5471 | 0.7066 | 42.4212   | 38.0501 |
+| 0.1095        | 6.7   | 2800 | 0.0737          | 0.7198 | 0.5547 | 0.7135 | 42.8225   | 38.0501 |
+| 0.0749        | 7.18  | 3000 | 0.0735          | 0.7165 | 0.5536 | 0.7107 | 42.9748   | 38.0501 |
+| 0.073         | 7.66  | 3200 | 0.0737          | 0.7174 | 0.5553 | 0.7108 | 43.3127   | 38.0501 |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_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

@@ -0,0 +1,5 @@
+{
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

spiece.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
+size 4309802

tokenizer_config.json

@@ -0,0 +1,13 @@
+{
+  "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>"
+}