update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-large-stacked-samsum1024-WIP3
+  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. -->
+
+# flan-t5-large-stacked-samsum1024-WIP3
+
+This model is a fine-tuned version of [pszemraj/flan-t5-large-stacked-samsum1024-WIP2](https://huggingface.co/pszemraj/flan-t5-large-stacked-samsum1024-WIP2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1311
+- Rouge1: 58.1114
+- Rouge2: 29.339
+- Rougel: 44.7611
+- Rougelsum: 54.2823
+- Gen Len: 122.364
+
+## 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: 0.0006
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 2760
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 256
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.02
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.1734        | 1.0   | 115  | 1.8751          | 57.9286 | 29.2743 | 44.7181 | 54.2295   | 122.123 |
+| 0.1098        | 2.0   | 230  | 2.1311          | 58.1114 | 29.339  | 44.7611 | 54.2823   | 122.364 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.6.1
+- Tokenizers 0.13.1