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events-mem-large

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +21 -14
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: google/flan-t5-large
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  model-index:
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  - name: events-mem-large
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  results: []
@@ -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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: nan
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  ## Model description
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@@ -35,25 +35,32 @@ More information needed
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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: 1
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- - eval_batch_size: 1
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 2
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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_steps: 1
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 0.0 | 0.0004 | 1 | nan |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.40.1
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- - Pytorch 2.2.1+cu121
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- - Datasets 2.19.0
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- - Tokenizers 0.19.1
 
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  ---
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  license: apache-2.0
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+ base_model: google/flan-t5-large
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: events-mem-large
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  results: []
 
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0039
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  ## Model description
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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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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.2629 | 1.0 | 665 | 0.0056 |
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+ | 0.0098 | 2.0 | 1330 | 0.0049 |
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+ | 0.0048 | 3.0 | 1995 | 0.0044 |
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+ | 0.0036 | 4.0 | 2660 | 0.0042 |
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+ | 0.0031 | 5.0 | 3325 | 0.0040 |
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+ | 0.0031 | 6.0 | 3990 | 0.0040 |
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+ | 0.0041 | 7.0 | 4655 | 0.0039 |
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+ | 0.0024 | 8.0 | 5320 | 0.0038 |
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+ | 0.0022 | 9.0 | 5985 | 0.0038 |
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+ | 0.0021 | 10.0 | 6650 | 0.0039 |
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  ### Framework versions
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
generation_config.json CHANGED
@@ -3,5 +3,5 @@
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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": "4.40.1"
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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": "4.39.3"
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  }
model.safetensors CHANGED
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