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dill-lab
/
oath-frames-flant5-xl

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
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  1. README.md +47 -3
  2. all_results.json +24 -0
  3. config.json +61 -0
  4. eval_results.json +11 -0
  5. generated_predictions.txt +1280 -0
  6. generation_config.json +6 -0
  7. predict_results.json +10 -0
  8. pytorch_model.bin +3 -0
  9. special_tokens_map.json +107 -0
  10. spiece.model +3 -0
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +112 -0
  13. train_results.json +8 -0
  14. trainer_state.json +80 -0
  15. training_args.bin +3 -0
README.md CHANGED
@@ -1,3 +1,47 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ model-index:
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+ - name: flan-t5-xl_06072024_22_39_08
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # flan-t5-xl_06072024_22_39_08
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 64
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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: 3.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.29.2
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.17.0
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+ - Tokenizers 0.13.3
all_results.json ADDED
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+ {
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+ "epoch": 5.0,
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+ "eval_f1": 0.6301624612855913,
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+ "eval_loss": 0.22135336697101593,
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+ "eval_precision": 0.6489075109749957,
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+ "eval_recall": 0.6250635711770931,
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+ "eval_runtime": 227.5769,
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+ "eval_samples": 913,
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+ "eval_samples_per_second": 4.012,
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+ "eval_steps_per_second": 0.035,
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+ "predict_f1": 0.25997494934490384,
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+ "predict_loss": 0.2757824957370758,
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+ "predict_precision": 0.26913524719264226,
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+ "predict_recall": 0.2657339542889664,
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+ "predict_runtime": 368.378,
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+ "predict_samples": 1280,
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+ "predict_samples_per_second": 3.475,
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+ "predict_steps_per_second": 0.054,
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+ "train_loss": 0.22278970571664664,
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+ "train_runtime": 6258.6879,
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+ "train_samples": 8217,
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+ "train_samples_per_second": 6.564,
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+ "train_steps_per_second": 0.052
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+ }
config.json ADDED
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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": "4.29.2",
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+ "use_cache": true,
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+ "vocab_size": 32100
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 5.0,
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+ "eval_f1": 0.6301624612855913,
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+ "eval_loss": 0.22135336697101593,
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+ "eval_precision": 0.6489075109749957,
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+ "eval_recall": 0.6250635711770931,
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+ "eval_runtime": 227.5769,
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+ "eval_samples": 913,
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+ "eval_samples_per_second": 4.012,
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+ "eval_steps_per_second": 0.035
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+ }
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