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config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "google/t5-large-lm-adapt",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2816,
+  "d_kv": 64,
+  "d_model": 1024,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 16,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.18.0",
+  "use_cache": true,
+  "vocab_size": 32100
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "eval_global_step": 35960,
+    "eval_runtime": 0.0047,
+    "eval_samples": 0,
+    "eval_samples_per_second": 0.0,
+    "eval_steps_per_second": 0.0
+}

metrics.json

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+{"run_name": "retrain-tk-instruct-minus-a-lot-of-data_t5-large-lm-adapt", "train_metrics": [{"train_runtime": 33360.2823, "train_samples_per_second": 4.312, "train_steps_per_second": 1.078, "train_loss": 0.9790658240058399, "epoch": 2.0, "train_samples": 71917}], "eval_metrics": [{"eval_global_step": 35960, "eval_runtime": 0.0047, "eval_samples_per_second": 0.0, "eval_steps_per_second": 0.0, "epoch": 2.0, "eval_samples": 0}], "test_metrics": [{"predict_loss": 1.4940379858016968, "predict_exact_match": 31.9328, "predict_rouge1": 51.2214, "predict_rougeL": 50.1182, "predict_f1": 48.7591, "predict_exact_match_for_task1356_xlsum_title_generation": 0.0, "predict_rouge1_for_task1356_xlsum_title_generation": 13.1565, "predict_rougeL_for_task1356_xlsum_title_generation": 12.4017, "predict_f1_for_task1356_xlsum_title_generation": 12.3176, "predict_exact_match_for_task893_gap_fill_the_blank_coreference_resolution": 80.0, "predict_rouge1_for_task893_gap_fill_the_blank_coreference_resolution": 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predict_results.json

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