update model card README.md

README.md

@@ -0,0 +1,58 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: Vigec-V6
+  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. -->
+
+# Vigec-V6
+
+This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.1176
+- eval_bleu: 90.2995
+- eval_gen_len: 9.904
+- eval_runtime: 72.4913
+- eval_samples_per_second: 27.59
+- eval_steps_per_second: 3.449
+- epoch: 0.97
+- step: 40000
+
+## 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: 1e-05
+- train_batch_size: 16
+- 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: 500
+- training_steps: 100000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2