End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+model-index:
+- name: t5-base-finetuned-billsum
+  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. -->
+
+# t5-base-finetuned-billsum
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.2282
+- eval_rouge1: 54.1861
+- eval_rouge2: 34.0304
+- eval_rougeL: 43.0143
+- eval_rougeLsum: 47.3689
+- eval_gen_len: 117.3809
+- eval_runtime: 1096.9499
+- eval_samples_per_second: 2.98
+- eval_steps_per_second: 0.373
+- epoch: 0.4221
+- step: 1000
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.1.0+cu118
+- 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": "4.42.4"
+}

model.safetensors

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