update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: m2m100_lr_2e5_gradd_accum_2
+  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. -->
+
+# m2m100_lr_2e5_gradd_accum_2
+
+This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2890
+- Bleu: 10.7134
+- Gen Len: 45.3067
+- Meteor: 0.3064
+- Chrf: 33.9112
+
+## 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: 2e-05
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 32.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len | Meteor | Chrf    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:-------:|
+| 3.3178        | 7.94  | 2406 | 2.7937          | 9.2429  | 47.6707 | 0.2869 | 31.5031 |
+| 1.6761        | 15.88 | 4812 | 2.8455          | 10.5222 | 46.2192 | 0.3047 | 33.4306 |
+| 1.0433        | 23.82 | 7218 | 3.0691          | 10.4711 | 46.6063 | 0.3042 | 33.6469 |
+| 0.6522        | 31.76 | 9624 | 3.2890          | 10.7134 | 45.3067 | 0.3064 | 33.9112 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.10.0
+- Tokenizers 0.12.1