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End of training

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Files changed (4) hide show
  1. README.md +6 -9
  2. adapter_config.json +2 -2
  3. adapter_model.bin +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1242
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  ## Model description
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@@ -35,22 +35,19 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 2
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.1789 | 1.0 | 430 | 0.1277 |
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- | 0.2154 | 2.0 | 860 | 0.1270 |
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- | 0.2004 | 3.0 | 1290 | 0.1255 |
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- | 0.2039 | 4.0 | 1720 | 0.1252 |
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- | 0.2 | 5.0 | 2150 | 0.1242 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1216
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1888 | 1.0 | 215 | 0.1245 |
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+ | 0.1657 | 2.0 | 430 | 0.1216 |
 
 
 
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  ### Framework versions
adapter_config.json CHANGED
@@ -2,14 +2,14 @@
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  "auto_mapping": null,
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  "base_model_name_or_path": "google/flan-t5-large",
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  "encoder_dropout": 0.0,
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- "encoder_hidden_size": 128,
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  "encoder_num_layers": 2,
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  "encoder_reparameterization_type": "MLP",
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  "inference_mode": true,
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  "num_attention_heads": 16,
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  "num_layers": 24,
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  "num_transformer_submodules": 2,
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- "num_virtual_tokens": 20,
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  "peft_type": "P_TUNING",
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  "revision": null,
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  "task_type": "SEQ_2_SEQ_LM",
 
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  "auto_mapping": null,
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  "base_model_name_or_path": "google/flan-t5-large",
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  "encoder_dropout": 0.0,
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+ "encoder_hidden_size": 1024,
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  "encoder_num_layers": 2,
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  "encoder_reparameterization_type": "MLP",
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  "inference_mode": true,
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  "num_attention_heads": 16,
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  "num_layers": 24,
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  "num_transformer_submodules": 2,
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+ "num_virtual_tokens": 32,
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  "peft_type": "P_TUNING",
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  "revision": null,
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  "task_type": "SEQ_2_SEQ_LM",
adapter_model.bin CHANGED
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