End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- boolq
+metrics:
+- rouge
+model-index:
+- name: pal_team_tfq_generation
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: boolq
+      type: boolq
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.3793
+---
+
+<!-- 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. -->
+
+# pal_team_tfq_generation
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the boolq dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8807
+- Rouge1: 0.3793
+- Rouge2: 0.1737
+- Rougel: 0.3534
+- Rougelsum: 0.3535
+- Gen Len: 12.7453
+
+## 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
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.4543        | 1.0   | 1179 | 2.0285          | 0.3608 | 0.1524 | 0.3326 | 0.3326    | 12.3572 |
+| 2.2496        | 2.0   | 2358 | 1.9305          | 0.3706 | 0.163  | 0.343  | 0.3432    | 12.7278 |
+| 2.1221        | 3.0   | 3537 | 1.8922          | 0.3779 | 0.1725 | 0.3516 | 0.3519    | 12.6859 |
+| 2.1428        | 4.0   | 4716 | 1.8807          | 0.3793 | 0.1737 | 0.3534 | 0.3535    | 12.7453 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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runs/Nov28_02-07-42_6dd5a0142e44/events.out.tfevents.1701137263.6dd5a0142e44.2636.0

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