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: 0.4997
-- Rouge1: 73.3085
-- Rouge2: 66.3297
-- Rougel: 70.3711
-- Rougelsum: 72.4621
-- Gen Len: 103.344
+- Rouge1: 73.7275
+- Rouge2: 66.7471
+- Rougel: 70.8087
+- Rougelsum: 72.8058
+- Gen Len: 103.516
 
 ## Model description
 

all_results.json

@@ -0,0 +1,29 @@
+{
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+    "eval_gen_len": 103.516,
+    "eval_loss": 0.4996706545352936,
+    "eval_rouge1": 73.7275,
+    "eval_rouge2": 66.7471,
+    "eval_rougeL": 70.8087,
+    "eval_rougeLsum": 72.8058,
+    "eval_runtime": 986.8474,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.76,
+    "eval_steps_per_second": 0.024,
+    "predict_gen_len": 102.5544922913344,
+    "predict_loss": 0.5238111019134521,
+    "predict_rouge1": 72.4368,
+    "predict_rouge2": 65.4622,
+    "predict_rougeL": 69.4545,
+    "predict_rougeLsum": 71.556,
+    "predict_runtime": 4955.5742,
+    "predict_samples": 3762,
+    "predict_samples_per_second": 0.759,
+    "predict_steps_per_second": 0.024,
+    "total_flos": 4.90238608932864e+16,
+    "train_loss": 0.6246773758276696,
+    "train_runtime": 4840.7009,
+    "train_samples": 14262,
+    "train_samples_per_second": 14.731,
+    "train_steps_per_second": 0.921
+}

eval_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 5.0,
+    "eval_gen_len": 103.516,
+    "eval_loss": 0.4996706545352936,
+    "eval_rouge1": 73.7275,
+    "eval_rouge2": 66.7471,
+    "eval_rougeL": 70.8087,
+    "eval_rougeLsum": 72.8058,
+    "eval_runtime": 986.8474,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.76,
+    "eval_steps_per_second": 0.024
+}

predict_results.json

@@ -0,0 +1,12 @@
+{
+    "predict_gen_len": 102.5544922913344,
+    "predict_loss": 0.5238111019134521,
+    "predict_rouge1": 72.4368,
+    "predict_rouge2": 65.4622,
+    "predict_rougeL": 69.4545,
+    "predict_rougeLsum": 71.556,
+    "predict_runtime": 4955.5742,
+    "predict_samples": 3762,
+    "predict_samples_per_second": 0.759,
+    "predict_steps_per_second": 0.024
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.0,
+    "total_flos": 4.90238608932864e+16,
+    "train_loss": 0.6246773758276696,
+    "train_runtime": 4840.7009,
+    "train_samples": 14262,
+    "train_samples_per_second": 14.731,
+    "train_steps_per_second": 0.921
+}

trainer_state.json

@@ -0,0 +1,130 @@
+{
+  "best_metric": 73.3085,
+  "best_model_checkpoint": "bin/indosum-lora-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_rougeLsum": 69.3577,
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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
+}