End of training

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- id
 license: apache-2.0
 base_model: LazarusNLP/IndoNanoT5-base
 tags:
@@ -18,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1937
-- Rouge1: 66.4804
-- Rouge2: 56.0803
-- Rougel: 63.1939
-- Rougelsum: 65.4418
-- Gen Len: 100.6973
+- Rouge1: 67.2533
+- Rouge2: 57.3905
+- Rougel: 64.0732
+- Rougelsum: 66.2476
+- Gen Len: 97.596
 
 ## Model description
 

all_results.json

@@ -0,0 +1,29 @@
+{
+    "epoch": 5.0,
+    "eval_gen_len": 97.596,
+    "eval_loss": 1.1937309503555298,
+    "eval_rouge1": 67.2533,
+    "eval_rouge2": 57.3905,
+    "eval_rougeL": 64.0732,
+    "eval_rougeLsum": 66.2476,
+    "eval_runtime": 2184.6109,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.343,
+    "eval_steps_per_second": 0.011,
+    "predict_gen_len": 96.79399255715045,
+    "predict_loss": 1.235095500946045,
+    "predict_rouge1": 66.2296,
+    "predict_rouge2": 56.2576,
+    "predict_rougeL": 62.8212,
+    "predict_rougeLsum": 65.1896,
+    "predict_runtime": 10811.5504,
+    "predict_samples": 3762,
+    "predict_samples_per_second": 0.348,
+    "predict_steps_per_second": 0.011,
+    "total_flos": 5.530296634048512e+16,
+    "train_loss": 2.1071388689391815,
+    "train_runtime": 11378.6339,
+    "train_samples": 14262,
+    "train_samples_per_second": 6.267,
+    "train_steps_per_second": 0.392
+}

eval_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 5.0,
+    "eval_gen_len": 97.596,
+    "eval_loss": 1.1937309503555298,
+    "eval_rouge1": 67.2533,
+    "eval_rouge2": 57.3905,
+    "eval_rougeL": 64.0732,
+    "eval_rougeLsum": 66.2476,
+    "eval_runtime": 2184.6109,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.343,
+    "eval_steps_per_second": 0.011
+}

predict_results.json

@@ -0,0 +1,12 @@
+{
+    "predict_gen_len": 96.79399255715045,
+    "predict_loss": 1.235095500946045,
+    "predict_rouge1": 66.2296,
+    "predict_rouge2": 56.2576,
+    "predict_rougeL": 62.8212,
+    "predict_rougeLsum": 65.1896,
+    "predict_runtime": 10811.5504,
+    "predict_samples": 3762,
+    "predict_samples_per_second": 0.348,
+    "predict_steps_per_second": 0.011
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.0,
+    "total_flos": 5.530296634048512e+16,
+    "train_loss": 2.1071388689391815,
+    "train_runtime": 11378.6339,
+    "train_samples": 14262,
+    "train_samples_per_second": 6.267,
+    "train_steps_per_second": 0.392
+}

trainer_state.json

@@ -0,0 +1,130 @@
+{
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+  "best_model_checkpoint": "bin/indosum-pt-pl50-0/checkpoint-4460",
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 4460,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "eval_rouge2": 40.3522,
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+  "logging_steps": 500,
+  "max_steps": 4460,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
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+  "trial_params": null
+}