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mT5_base

Text2Text Generation
Transformers
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Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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meoo225 commited on
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End of training

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Files changed (3) hide show
  1. README.md +10 -16
  2. generation_config.json +1 -1
  3. logs/events.out.tfevents.1731693972.5db65e64f3ce.727.0 +2 -2
README.md CHANGED
@@ -4,9 +4,6 @@ license: apache-2.0
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  base_model: google/mt5-base
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  tags:
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  - generated_from_trainer
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- metrics:
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- - precision
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- - recall
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  model-index:
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  - name: mT5_base
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  results: []
@@ -21,10 +18,7 @@ This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/g
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1703
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  - Bleu Score: 51.176
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- - Precision: 27.4791
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- - Recall: 27.4791
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  - Gen Len: 16.8805
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- - Err: 27.4791
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  ## Model description
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@@ -47,22 +41,22 @@ The following hyperparameters were used during training:
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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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  - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
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- |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:-------:|:-------:|:-------:|
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- | 1.3269 | 1.0 | 838 | 0.2396 | 48.4521 | 20.7885 | 20.7885 | 16.8339 | 20.7885 |
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- | 0.2831 | 2.0 | 1676 | 0.1861 | 50.5118 | 26.1649 | 26.1649 | 16.8781 | 26.1649 |
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- | 0.2167 | 3.0 | 2514 | 0.1703 | 51.176 | 27.4791 | 27.4791 | 16.8805 | 27.4791 |
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  ### Framework versions
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- - Transformers 4.45.1
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- - Pytorch 2.4.1+cu121
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- - Datasets 3.0.1
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- - Tokenizers 0.20.0
 
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  base_model: google/mt5-base
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  tags:
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: mT5_base
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  results: []
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1703
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  - Bleu Score: 51.176
 
 
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  - Gen Len: 16.8805
 
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  ## Model description
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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+ | 1.3269 | 1.0 | 838 | 0.2396 | 48.4521 | 16.8339 |
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+ | 0.2831 | 2.0 | 1676 | 0.1861 | 50.5118 | 16.8781 |
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+ | 0.2167 | 3.0 | 2514 | 0.1703 | 51.176 | 16.8805 |
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  ### Framework versions
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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  "decoder_start_token_id": 0,
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  "eos_token_id": 1,
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  "pad_token_id": 0,
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- "transformers_version": "4.45.1"
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  }
 
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  "decoder_start_token_id": 0,
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  "eos_token_id": 1,
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  "pad_token_id": 0,
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+ "transformers_version": "4.46.2"
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  }
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