readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: marianmt-finetuned-netspeak-tgl-to-eng
    results: []
  pipeline_tag: translation
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # marianmt-finetuned-netspeak-tgl-to-eng
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tl-en](https://huggingface.co/Helsinki-NLP/opus-mt-tl-en) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.7277
  - Validation Loss: 2.0459
  - Train Bleu: 33.5501
  - Train Gen Len: 8.7228
  - Epoch: 93
  
  ## 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:
  - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
  |:----------:|:---------------:|:----------:|:-------------:|:-----:|
  | 5.4267     | 4.5907          | 3.3310     | 11.7129       | 0     |
  | 4.6862     | 4.1720          | 3.5594     | 10.4752       | 1     |
  | 4.4077     | 3.9852          | 4.0100     | 9.2079        | 2     |
  | 4.2296     | 3.8554          | 3.3190     | 9.3663        | 3     |
  | 4.0964     | 3.7598          | 4.8776     | 9.4554        | 4     |
  | 3.9799     | 3.6710          | 4.9744     | 9.6931        | 5     |
  | 3.8799     | 3.5953          | 5.9838     | 9.4752        | 6     |
  | 3.7661     | 3.5248          | 6.4073     | 9.3366        | 7     |
  | 3.6807     | 3.4588          | 6.2692     | 9.1485        | 8     |
  | 3.5932     | 3.3964          | 6.0781     | 9.0990        | 9     |
  | 3.5110     | 3.3384          | 6.6363     | 9.0891        | 10    |
  | 3.4294     | 3.2892          | 7.0472     | 9.2079        | 11    |
  | 3.3566     | 3.2363          | 7.2707     | 9.1782        | 12    |
  | 3.2796     | 3.1878          | 7.9426     | 9.1683        | 13    |
  | 3.2026     | 3.1376          | 7.9254     | 9.2772        | 14    |
  | 3.1472     | 3.0926          | 8.2076     | 9.1188        | 15    |
  | 3.0634     | 3.0496          | 8.5193     | 9.2475        | 16    |
  | 3.0124     | 3.0082          | 8.9990     | 9.1485        | 17    |
  | 2.9554     | 2.9696          | 11.2816    | 9.1485        | 18    |
  | 2.8885     | 2.9352          | 12.0866    | 9.0396        | 19    |
  | 2.8403     | 2.8974          | 12.8611    | 9.1485        | 20    |
  | 2.7636     | 2.8661          | 13.0981    | 9.1485        | 21    |
  | 2.7229     | 2.8269          | 12.9295    | 8.9010        | 22    |
  | 2.6714     | 2.7951          | 14.0159    | 8.8713        | 23    |
  | 2.6179     | 2.7644          | 13.7369    | 8.7624        | 24    |
  | 2.5520     | 2.7348          | 14.0979    | 8.8119        | 25    |
  | 2.5199     | 2.7059          | 14.5253    | 8.7426        | 26    |
  | 2.4652     | 2.6832          | 13.8452    | 8.7030        | 27    |
  | 2.4081     | 2.6537          | 15.6475    | 8.9505        | 28    |
  | 2.3708     | 2.6302          | 16.1325    | 8.8713        | 29    |
  | 2.3195     | 2.6124          | 16.0044    | 8.7426        | 30    |
  | 2.2938     | 2.5892          | 16.8560    | 8.8020        | 31    |
  | 2.2202     | 2.5700          | 16.8995    | 8.8911        | 32    |
  | 2.1808     | 2.5456          | 17.5342    | 8.8416        | 33    |
  | 2.1373     | 2.5262          | 18.4092    | 8.6337        | 34    |
  | 2.1096     | 2.5082          | 18.1906    | 8.6436        | 35    |
  | 2.0610     | 2.4896          | 18.3189    | 8.7525        | 36    |
  | 2.0275     | 2.4725          | 18.4318    | 8.6436        | 37    |
  | 1.9913     | 2.4534          | 18.1136    | 8.6832        | 38    |
  | 1.9544     | 2.4403          | 19.2999    | 8.6040        | 39    |
  | 1.9144     | 2.4220          | 19.1325    | 8.6535        | 40    |
  | 1.8781     | 2.4075          | 19.4122    | 8.6337        | 41    |
  | 1.8610     | 2.3928          | 21.0270    | 8.6832        | 42    |
  | 1.8176     | 2.3779          | 20.9122    | 8.7921        | 43    |
  | 1.7839     | 2.3618          | 20.3906    | 8.7624        | 44    |
  | 1.7553     | 2.3466          | 20.9078    | 8.7327        | 45    |
  | 1.7045     | 2.3368          | 20.7228    | 8.7030        | 46    |
  | 1.6974     | 2.3221          | 20.7889    | 8.7426        | 47    |
  | 1.6561     | 2.3109          | 20.8293    | 8.7129        | 48    |
  | 1.6264     | 2.2991          | 20.3201    | 8.5644        | 49    |
  | 1.5976     | 2.2906          | 22.7905    | 8.6139        | 50    |
  | 1.5725     | 2.2820          | 23.9301    | 8.7228        | 51    |
  | 1.5528     | 2.2702     