End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-rouge-durga-2
+  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-rouge-durga-2
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0126
+- Rouge1: 0.6270
+- Rouge2: 0.6003
+- Rougel: 0.6244
+- Rougelsum: 0.6247
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 4.989         | 1.0   | 85   | 2.8197          | 0.2164 | 0.0941 | 0.1882 | 0.1883    |
+| 3.116         | 2.0   | 170  | 2.0798          | 0.3122 | 0.1588 | 0.2604 | 0.2604    |
+| 2.8357        | 3.0   | 255  | 1.5681          | 0.3446 | 0.1935 | 0.2953 | 0.2955    |
+| 1.7776        | 4.0   | 340  | 1.1806          | 0.3324 | 0.1952 | 0.2895 | 0.2904    |
+| 1.1881        | 5.0   | 425  | 0.9407          | 0.3533 | 0.2228 | 0.3088 | 0.3091    |
+| 1.8511        | 6.0   | 510  | 0.6826          | 0.3971 | 0.2700 | 0.3644 | 0.3636    |
+| 1.7178        | 7.0   | 595  | 0.5128          | 0.4194 | 0.3120 | 0.3894 | 0.3891    |
+| 1.2772        | 8.0   | 680  | 0.3878          | 0.4590 | 0.3619 | 0.4311 | 0.4302    |
+| 1.3577        | 9.0   | 765  | 0.2709          | 0.4729 | 0.3881 | 0.4499 | 0.4497    |
+| 0.8291        | 10.0  | 850  | 0.2005          | 0.5006 | 0.4276 | 0.4748 | 0.4747    |
+| 0.6825        | 11.0  | 935  | 0.1616          | 0.5411 | 0.4732 | 0.5215 | 0.5224    |
+| 0.5006        | 12.0  | 1020 | 0.1182          | 0.5348 | 0.4782 | 0.5200 | 0.5196    |
+| 0.5193        | 13.0  | 1105 | 0.1027          | 0.5446 | 0.4910 | 0.5269 | 0.5286    |
+| 0.3933        | 14.0  | 1190 | 0.0881          | 0.5685 | 0.5200 | 0.5535 | 0.5548    |
+| 0.1584        | 15.0  | 1275 | 0.0708          | 0.5719 | 0.5327 | 0.5629 | 0.5645    |
+| 0.3657        | 16.0  | 1360 | 0.0646          | 0.5763 | 0.5315 | 0.5648 | 0.5659    |
+| 0.2731        | 17.0  | 1445 | 0.0525          | 0.5908 | 0.5500 | 0.5844 | 0.5844    |
+| 0.3466        | 18.0  | 1530 | 0.0511          | 0.5971 | 0.5596 | 0.5873 | 0.5886    |
+| 0.1892        | 19.0  | 1615 | 0.0384          | 0.6044 | 0.5675 | 0.5991 | 0.5995    |
+| 0.1684        | 20.0  | 1700 | 0.0328          | 0.6066 | 0.5744 | 0.6046 | 0.6050    |
+| 0.0691        | 21.0  | 1785 | 0.0295          | 0.6057 | 0.5726 | 0.6020 | 0.6027    |
+| 0.0326        | 22.0  | 1870 | 0.0243          | 0.6167 | 0.5872 | 0.6138 | 0.6146    |
+| 0.1872        | 23.0  | 1955 | 0.0195          | 0.6188 | 0.5899 | 0.6149 | 0.6160    |
+| 0.1372        | 24.0  | 2040 | 0.0183          | 0.6253 | 0.5961 | 0.6227 | 0.6233    |
+| 0.0621        | 25.0  | 2125 | 0.0166          | 0.6239 | 0.5957 | 0.6211 | 0.6225    |
+| 0.2539        | 26.0  | 2210 | 0.0161          | 0.6217 | 0.5926 | 0.6191 | 0.6200    |
+| 0.2532        | 27.0  | 2295 | 0.0166          | 0.6195 | 0.5910 | 0.6166 | 0.6173    |
+| 0.1158        | 28.0  | 2380 | 0.0145          | 0.6223 | 0.5943 | 0.6196 | 0.6202    |
+| 0.3496        | 29.0  | 2465 | 0.0132          | 0.6241 | 0.5957 | 0.6212 | 0.6217    |
+| 0.059         | 30.0  | 2550 | 0.0126          | 0.6270 | 0.6003 | 0.6244 | 0.6247    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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": "4.44.2",
+  "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": "4.44.2"
+}

model.safetensors

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runs/Sep17_13-55-27_3eda1f5c40b7/events.out.tfevents.1726581329.3eda1f5c40b7.318.0

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special_tokens_map.json

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+    "lstrip": false,
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+    "single_word": false
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+}

spiece.model

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tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
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+      "lstrip": false,
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+  "additional_special_tokens": [],
+  "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",
+  "unk_token": "<unk>"
+}

training_args.bin

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