End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/m2m100_418M
+tags:
+- generated_from_trainer
+model-index:
+- name: m2m-amharic-synonym2
+  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. -->
+
+# m2m-amharic-synonym2
+
+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: 0.4442
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3844        | 1.0   | 151  | 2.1288          |
+| 0.4991        | 2.0   | 302  | 0.4929          |
+| 0.4214        | 3.0   | 453  | 0.4490          |
+| 0.3815        | 4.0   | 604  | 0.4402          |
+| 0.3618        | 5.0   | 755  | 0.4359          |
+| 0.3327        | 6.0   | 906  | 0.4360          |
+| 0.304         | 7.0   | 1057 | 0.4442          |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.47.0"
+}

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