End of training

README.md

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+---
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: my_awesome_billsum_model
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/shresthasingh1506-vellore-institute-of-technology/huggingface/runs/lo1964uv)
+# my_awesome_billsum_model
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5520
+- Rouge1: 0.1374
+- Rouge2: 0.0485
+- Rougel: 0.1133
+- Rougelsum: 0.1134
+- Gen Len: 19.0
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 62   | 2.8420          | 0.1227 | 0.0341 | 0.1045 | 0.1047    | 19.0    |
+| No log        | 2.0   | 124  | 2.6293          | 0.1335 | 0.0448 | 0.1106 | 0.1106    | 19.0    |
+| No log        | 3.0   | 186  | 2.5683          | 0.1356 | 0.0482 | 0.1129 | 0.113     | 19.0    |
+| No log        | 4.0   | 248  | 2.5520          | 0.1374 | 0.0485 | 0.1133 | 0.1134    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.3"
+}

runs/Jul12_10-59-13_6f540c3895fb/events.out.tfevents.1720781954.6f540c3895fb.34.0

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