update model card README.md

README.md

@@ -0,0 +1,75 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- dataset
+metrics:
+- bleu
+model-index:
+- name: m2m100_418M-test
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: dataset
+      type: dataset
+      config: uptycs
+      split: train
+      args: uptycs
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 29.9962
+---
+
+<!-- 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. -->
+
+# m2m100_418M-test
+
+This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the dataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9953
+- Bleu: 29.9962
+- Gen Len: 41.6441
+
+## 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: 0.0001
+- 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.3804        | 1.0   | 1267 | 0.9953          | 29.9962 | 41.6441 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2