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Upload TFT5ForConditionalGeneration
Browse files- README.md +58 -0
- config.json +31 -0
- generation_config.json +7 -0
- tf_model.h5 +3 -0
README.md
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---
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license: mit
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tags:
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- generated_from_keras_callback
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model-index:
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- name: FineTune_Vit5_LR0_00001_time2
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# FineTune_Vit5_LR0_00001_time2
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This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.6803
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- Validation Loss: 0.7039
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- Train Rouge1: 48.5820
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- Train Rouge2: 26.3291
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- Train Rougel: 39.9040
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- Train Rougelsum: 39.9339
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- Train Gen Len: 14.1547
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- Epoch: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
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| 0.6803 | 0.7039 | 48.5820 | 26.3291 | 39.9040 | 39.9339 | 14.1547 | 0 |
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### Framework versions
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- Transformers 4.26.0
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- TensorFlow 2.9.2
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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config.json
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{
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"_name_or_path": "VietAI/vit5-base",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 3072,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.26.0",
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"use_cache": true,
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"vocab_size": 36096
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}
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generation_config.json
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{
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"_from_model_config": true,
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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": "4.26.0"
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:e5a80d4279a5637fdfa79f578dfd744dcef7bafc83e9d5943096bd026ae2e072
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size 1126113272
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