T5

models/t5_v1_1/README.md

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+---
+language:
+- text
+- label
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+- accuracy
+model-index:
+- name: t5_v1_1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# t5_v1_1
+
+This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5495
+- Bleu: 0.0
+- Accuracy: 1.0
+- Gen Len: 2.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2

models/t5_v1_1/all_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 1.0,
+    "eval_bleu": 0.0,
+    "eval_gen_len": 2.0,
+    "eval_loss": 0.549530029296875,
+    "eval_runtime": 21.1323,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 94.642,
+    "eval_steps_per_second": 11.83,
+    "predict_accuracy": 1.0,
+    "predict_bleu": 0.0,
+    "predict_gen_len": 2.0,
+    "predict_loss": 0.5152234435081482,
+    "predict_runtime": 20.0795,
+    "predict_samples": 2000,
+    "predict_samples_per_second": 99.604,
+    "predict_steps_per_second": 12.451,
+    "train_loss": 3.4401537475585937,
+    "train_runtime": 242.9807,
+    "train_samples": 16000,
+    "train_samples_per_second": 65.849,
+    "train_steps_per_second": 8.231
+}

models/t5_v1_1/config.json

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+{
+  "_name_or_path": "google/t5-v1_1-small",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "use_cache": true,
+  "vocab_size": 32100
+}

models/t5_v1_1/eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 1.0,
+    "eval_bleu": 0.0,
+    "eval_gen_len": 2.0,
+    "eval_loss": 0.549530029296875,
+    "eval_runtime": 21.1323,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 94.642,
+    "eval_steps_per_second": 11.83
+}

models/t5_v1_1/generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.26.1"
+}

models/t5_v1_1/predict_results.json

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+{
+    "predict_accuracy": 1.0,
+    "predict_bleu": 0.0,
+    "predict_gen_len": 2.0,
+    "predict_loss": 0.5152234435081482,
+    "predict_runtime": 20.0795,
+    "predict_samples": 2000,
+    "predict_samples_per_second": 99.604,
+    "predict_steps_per_second": 12.451
+}

models/t5_v1_1/special_tokens_map.json

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+}

models/t5_v1_1/tokenizer_config.json

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models/t5_v1_1/train_results.json

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+}

models/t5_v1_1/trainer_state.json

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