Training in progress, step 500

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: sathwik_reddy_t5_summary
+  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. -->
+
+# sathwik_reddy_t5_summary
+
+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: 2.4258
+- Rouge1: 0.3185
+- Rouge2: 0.1246
+- Rougel: 0.2850
+- Rougelsum: 0.2855
+
+## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 3.1533        | 1.0   | 440  | 2.5586          | 0.2832 | 0.1122 | 0.2578 | 0.2589    |
+| 3.0151        | 2.0   | 880  | 2.5020          | 0.2943 | 0.1113 | 0.2626 | 0.2635    |
+| 2.9157        | 3.0   | 1320 | 2.4919          | 0.3029 | 0.1158 | 0.2710 | 0.2716    |
+| 2.8355        | 4.0   | 1760 | 2.4670          | 0.3043 | 0.1163 | 0.2749 | 0.2753    |
+| 2.7702        | 5.0   | 2200 | 2.4386          | 0.3143 | 0.1220 | 0.2826 | 0.2834    |
+| 2.7169        | 6.0   | 2640 | 2.4322          | 0.3120 | 0.1202 | 0.2805 | 0.2807    |
+| 2.6884        | 7.0   | 3080 | 2.4255          | 0.3154 | 0.1222 | 0.2834 | 0.2839    |
+| 2.6671        | 8.0   | 3520 | 2.4258          | 0.3185 | 0.1246 | 0.2850 | 0.2855    |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.47.0"
+}

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