Commit
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Parent(s):
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Upload TFT5ForConditionalGeneration
Browse files- README.md +48 -0
- config.json +61 -0
- tf_model-00001-of-00002.h5 +3 -0
- tf_model-00002-of-00002.h5 +3 -0
- tf_model.h5.index.json +565 -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: QAll-Flan-xl
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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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# QAll-Flan-xl
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This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) 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 4.25.1
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- TensorFlow 2.11.0
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- Datasets 2.10.1
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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": "google/flan-t5-xl",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 5120,
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"d_kv": 64,
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"d_model": 2048,
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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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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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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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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 24,
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"num_heads": 32,
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"num_layers": 24,
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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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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.25.1",
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"use_cache": true,
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"vocab_size": 32128
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}
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tf_model-00001-of-00002.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:027522ff6cfa395e778de2c8d6960e3d058cd17e9eda872e5873d67d527b235f
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size 9970701536
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tf_model-00002-of-00002.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:e18114ddaab552cc5101e46af7b3a1a795b7cca8f2d90e06118a5d23944ba0aa
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size 1429448928
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tf_model.h5.index.json
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