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MubarakB
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m2m100-lg-to-en-v5

Text2Text Generation
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m2m_100
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  1. README.md +17 -13
  2. generation_config.json +4 -0
  3. model.safetensors +1 -1
  4. runs/Jun03_04-22-12_049d933e36e0/events.out.tfevents.1717388534.049d933e36e0.34.0 +2 -2
README.md CHANGED
@@ -3,19 +3,22 @@ license: mit
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  base_model: MubarakB/m2m100-lg-to-en-v2
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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- - name: m2m100-lg-to-en-v4
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # m2m100-lg-to-en-v4
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  This model is a fine-tuned version of [MubarakB/m2m100-lg-to-en-v2](https://huggingface.co/MubarakB/m2m100-lg-to-en-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5477
 
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  ## Model description
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@@ -34,9 +37,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -45,13 +48,14 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 2.8978 | 1.0 | 119 | 0.5258 |
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- | 0.4898 | 2.0 | 238 | 0.5082 |
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- | 0.4377 | 3.0 | 357 | 0.5151 |
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- | 0.367 | 4.0 | 476 | 0.5277 |
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- | 0.3086 | 5.0 | 595 | 0.5477 |
 
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  ### Framework versions
 
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  base_model: MubarakB/m2m100-lg-to-en-v2
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - bleu
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  model-index:
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+ - name: m2m100-lg-to-en-v5
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # m2m100-lg-to-en-v5
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  This model is a fine-tuned version of [MubarakB/m2m100-lg-to-en-v2](https://huggingface.co/MubarakB/m2m100-lg-to-en-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5196
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+ - Bleu: 0.1371
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 2.6476 | 1.0 | 237 | 0.7225 | 0.3822 |
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+ | 0.5312 | 2.0 | 474 | 0.5011 | 0.0973 |
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+ | 0.4211 | 3.0 | 711 | 0.4924 | 0.3545 |
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+ | 0.4015 | 4.0 | 948 | 0.4957 | 0.1006 |
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+ | 0.3431 | 5.0 | 1185 | 0.5096 | 0.1953 |
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+ | 0.2992 | 6.0 | 1422 | 0.5196 | 0.1371 |
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  ### Framework versions
generation_config.json CHANGED
@@ -1,6 +1,10 @@
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  {
 
 
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  "early_stopping": true,
 
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  "max_length": 200,
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  "num_beams": 5,
 
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  "transformers_version": "4.41.1"
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  }
 
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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  "early_stopping": true,
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+ "eos_token_id": 2,
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  "max_length": 200,
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  "num_beams": 5,
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+ "pad_token_id": 1,
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  "transformers_version": "4.41.1"
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  }
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