End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mT5-TextSimp-LT-BatchSize12-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-BatchSize12-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: 0.1611
+- Rouge1: 0.4599
+- Rouge2: 0.2777
+- Rougel: 0.4471
+- Gen Len: 39.0358
+
+## 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: 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 | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 36.6446       | 0.48  | 200  | 31.2765         | 0.0004 | 0.0    | 0.0004 | 512.0    |
+| 11.5223       | 0.96  | 400  | 6.7786          | 0.003  | 0.0    | 0.0031 | 89.2816  |
+| 2.2686        | 1.44  | 600  | 0.6729          | 0.0053 | 0.0    | 0.0053 | 39.0501  |
+| 0.7009        | 1.91  | 800  | 0.6529          | 0.0029 | 0.0    | 0.0027 | 41.401   |
+| 0.6213        | 2.39  | 1000 | 0.5630          | 0.0057 | 0.0002 | 0.0056 | 39.0334  |
+| 0.6435        | 2.87  | 1200 | 0.4697          | 0.0685 | 0.0084 | 0.0611 | 39.0453  |
+| 0.4154        | 3.35  | 1400 | 10.4655         | 0.2093 | 0.1217 | 0.2006 | 350.0334 |
+| 0.6289        | 3.83  | 1600 | 1.9257          | 0.317  | 0.1946 | 0.3064 | 138.7494 |
+| 3.5542        | 4.31  | 1800 | 0.8459          | 0.3735 | 0.204  | 0.3613 | 59.8568  |
+| 8.1736        | 4.78  | 2000 | 7.2350          | 0.3144 | 0.1819 | 0.3037 | 289.1432 |
+| 2.3987        | 5.26  | 2200 | 0.8361          | 0.3621 | 0.1911 | 0.351  | 61.0668  |
+| 0.9853        | 5.74  | 2400 | 0.4219          | 0.3634 | 0.2008 | 0.352  | 46.494   |
+| 0.3575        | 6.22  | 2600 | 0.3516          | 0.3805 | 0.2128 | 0.3689 | 46.1623  |
+| 0.4497        | 6.7   | 2800 | 0.2597          | 0.4388 | 0.2698 | 0.4269 | 42.2697  |
+| 0.2582        | 7.18  | 3000 | 0.1583          | 0.4444 | 0.2587 | 0.4316 | 38.1671  |
+| 0.2629        | 7.66  | 3200 | 0.1611          | 0.4599 | 0.2777 | 0.4471 | 39.0358  |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "google/mt5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "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": "t5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "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": "4.33.0",
+  "use_cache": true,
+  "vocab_size": 250112
+}

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"
+}

pytorch_model.bin

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special_tokens_map.json

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+  "pad_token": "<pad>",
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+}

spiece.model

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tokenizer_config.json

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+  "clean_up_tokenization_spaces": true,
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+  "legacy": true,
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+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "tokenizer_file": null,
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+}

training_args.bin

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