update model card README.md

README.md

@@ -0,0 +1,58 @@
+---
+license: apache-2.0
+tags:
+- summarization
+- generated_from_trainer
+model-index:
+- name: mt5-small-finetuned-amazon-en-es
+  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. -->
+
+# mt5-small-finetuned-amazon-en-es
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 22.4140
+- eval_rouge1: 0.1884
+- eval_rouge2: 0.0
+- eval_rougeL: 0.1884
+- eval_rougeLsum: 0.1884
+- eval_runtime: 6.4772
+- eval_samples_per_second: 36.744
+- eval_steps_per_second: 1.235
+- step: 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: 5.6e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3