update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- xtreme_s
+metrics:
+- bleu
+model-index:
+- name: ''
+  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. -->
+
+# 
+
+This model was trained from scratch on the xtreme_s dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6425
+- Bleu: 0.0000
+
+## 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: 0.00012335092351490598
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.8303        | 0.15  | 500  | 4.9238          | 0.0    |
+| 2.4062        | 0.31  | 1000 | 4.4017          | 0.0    |
+| 1.9171        | 0.46  | 1500 | 3.6431          | 0.0000 |
+| 1.4558        | 0.62  | 2000 | 2.8292          | 0.0000 |
+| 1.2393        | 0.77  | 2500 | 2.3704          | 0.0000 |
+| 1.3315        | 0.93  | 3000 | 2.3101          | 0.0000 |
+| 1.8476        | 1.08  | 3500 | 1.9936          | 0.0000 |
+| 1.683         | 1.23  | 4000 | 1.9308          | 0.0000 |
+| 1.8298        | 1.39  | 4500 | 1.8817          | 0.0000 |
+| 1.5955        | 1.54  | 5000 | 1.8171          | 0.0000 |
+| 1.6288        | 1.7   | 5500 | 1.7821          | 0.0000 |
+| 1.4107        | 1.85  | 6000 | 1.7170          | 0.0000 |
+| 1.0363        | 2.01  | 6500 | 1.7419          | 0.0000 |
+| 0.9667        | 2.16  | 7000 | 1.7309          | 0.0000 |
+| 0.9147        | 2.31  | 7500 | 1.7244          | 0.0000 |
+| 1.1975        | 2.47  | 8000 | 1.6716          | 0.0000 |
+| 0.9071        | 2.62  | 8500 | 1.6886          | 0.0000 |
+| 0.9735        | 2.78  | 9000 | 1.6609          | 0.0000 |
+| 0.908         | 2.93  | 9500 | 1.6425          | 0.0000 |
+
+
+### Framework versions
+
+- Transformers 4.19.0.dev0
+- Pytorch 1.10.2+cu113
+- Datasets 2.1.1.dev0
+- Tokenizers 0.11.0

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