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: 0.7149
-- Rouge1: 71.7161
-- Rouge2: 64.386
-- Rougel: 68.5898
-- Rougelsum: 70.7721
-- Gen Len: 99.5373
+- Rouge1: 72.3288
+- Rouge2: 65.2271
+- Rougel: 69.3889
+- Rougelsum: 71.4606
+- Gen Len: 99.9773
 
 ## Model description
 

all_results.json

@@ -0,0 +1,29 @@
+{
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+    "eval_rouge2": 65.2271,
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+    "eval_runtime": 2219.8488,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.338,
+    "eval_steps_per_second": 0.042,
+    "predict_gen_len": 99.5571504518873,
+    "predict_loss": 0.7386454939842224,
+    "predict_rouge1": 71.6109,
+    "predict_rouge2": 64.506,
+    "predict_rougeL": 68.5757,
+    "predict_rougeLsum": 70.7506,
+    "predict_runtime": 11191.3022,
+    "predict_samples": 3762,
+    "predict_samples_per_second": 0.336,
+    "predict_steps_per_second": 0.042,
+    "total_flos": 4.883004680306688e+16,
+    "train_loss": 0.7530090023945772,
+    "train_runtime": 12824.4301,
+    "train_samples": 14262,
+    "train_samples_per_second": 5.56,
+    "train_steps_per_second": 1.39
+}

eval_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 5.0,
+    "eval_gen_len": 99.97733333333333,
+    "eval_loss": 0.7148926258087158,
+    "eval_rouge1": 72.3288,
+    "eval_rouge2": 65.2271,
+    "eval_rougeL": 69.3889,
+    "eval_rougeLsum": 71.4606,
+    "eval_runtime": 2219.8488,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.338,
+    "eval_steps_per_second": 0.042
+}

predict_results.json

@@ -0,0 +1,12 @@
+{
+    "predict_gen_len": 99.5571504518873,
+    "predict_loss": 0.7386454939842224,
+    "predict_rouge1": 71.6109,
+    "predict_rouge2": 64.506,
+    "predict_rougeL": 68.5757,
+    "predict_rougeLsum": 70.7506,
+    "predict_runtime": 11191.3022,
+    "predict_samples": 3762,
+    "predict_samples_per_second": 0.336,
+    "predict_steps_per_second": 0.042
+}

train_results.json

@@ -0,0 +1,9 @@
+{
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+    "total_flos": 4.883004680306688e+16,
+    "train_loss": 0.7530090023945772,
+    "train_runtime": 12824.4301,
+    "train_samples": 14262,
+    "train_samples_per_second": 5.56,
+    "train_steps_per_second": 1.39
+}

trainer_state.json

@@ -0,0 +1,130 @@
+{
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+  "best_model_checkpoint": "bin/indosum-base-0/checkpoint-17830",
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+  "logging_steps": 500,
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+  "num_input_tokens_seen": 0,
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+}