flan_t5_test_2023_01_31

README.md

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+---
+language:
+- flan_t5_test_2023_01_31
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- samsum
+metrics:
+- rouge
+model-index:
+- name: flan-t5-base-samsum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: test
+      args: samsum
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 47.4339
+---
+
+<!-- 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. -->
+
+# flan-t5-base-samsum
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3772
+- Rouge1: 47.4339
+- Rouge2: 23.9608
+- Rougel: 40.0566
+- Rougelsum: 43.6981
+- Gen Len: 17.3162
+
+## 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: 5e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.4403        | 1.0   | 1842 | 1.3829          | 46.5338 | 23.1342 | 39.4468 | 42.8518   | 17.0977 |
+| 1.3534        | 2.0   | 3684 | 1.3732          | 47.0913 | 23.5016 | 39.5941 | 43.238    | 17.4554 |
+| 1.2795        | 3.0   | 5526 | 1.3709          | 46.8916 | 23.3226 | 39.5661 | 43.1582   | 17.2027 |
+| 1.2313        | 4.0   | 7368 | 1.3736          | 47.441  | 23.7501 | 40.0446 | 43.6336   | 17.2198 |
+| 1.1934        | 5.0   | 9210 | 1.3772          | 47.4339 | 23.9608 | 40.0566 | 43.6981   | 17.3162 |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.26.0"
+}

pytorch_model.bin

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