Upload TFLongT5ForConditionalGeneration
Browse files- README.md +48 -0
- config.json +35 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: long-t5-tglobal-base
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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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# long-t5-tglobal-base
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This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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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: None
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- training_precision: float32
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### Training results
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### Framework versions
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- Transformers 4.24.0.dev0
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- TensorFlow 2.9.0
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- Datasets 2.2.2
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- Tokenizers 0.11.6
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config.json
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{
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"_name_or_path": "google/long-t5-tglobal-base",
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"architectures": [
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"LongT5ForConditionalGeneration"
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],
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"d_ff": 2048,
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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": "gelu_new",
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"dropout_rate": 0.1,
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"encoder_attention_type": "transient-global",
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"global_block_size": 16,
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"local_radius": 127,
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"model_type": "longt5",
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"n_positions": 4096,
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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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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.24.0.dev0",
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"use_cache": true,
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"vocab_size": 32128
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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 sha256:1b93bebac3cbbc713c38a4d3346fa97f27ca725d088dd7c1553d3c6451a4f8de
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size 1188341392
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