End of training

README.md

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+---
+license: apache-2.0
+base_model: CLAck/en-vi
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: my_awesome_en_vi_model
+  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. -->
+
+# my_awesome_en_vi_model
+
+This model is a fine-tuned version of [CLAck/en-vi](https://huggingface.co/CLAck/en-vi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4345
+- Bleu: 26.4223
+- Gen Len: 33.0654
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.3586        | 1.0   | 8333  | 0.4580          | 24.9697 | 32.9346 |
+| 0.3303        | 2.0   | 16666 | 0.4345          | 26.4223 | 33.0654 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+{
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+      65000
+    ]
+  ],
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+  "decoder_start_token_id": 65000,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 65000,
+  "transformers_version": "4.37.2"
+}

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runs/Feb16_11-02-09_nmtuet-serv/events.out.tfevents.1708056131.nmtuet-serv.3926853.0

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