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: 0.5046
-- Rouge1: 72.0617
-- Rouge2: 64.9137
-- Rougel: 69.0991
-- Rougelsum: 71.1205
-- Gen Len: 102.5733
+- Rouge1: 72.7451
+- Rouge2: 65.6426
+- Rougel: 69.7965
+- Rougelsum: 71.8443
+- Gen Len: 103.1187
 
 ## Model description
 

all_results.json

@@ -0,0 +1,29 @@
+{
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+    "eval_gen_len": 103.11866666666667,
+    "eval_loss": 0.5045868754386902,
+    "eval_rouge1": 72.7451,
+    "eval_rouge2": 65.6426,
+    "eval_rougeL": 69.7965,
+    "eval_rougeLsum": 71.8443,
+    "eval_runtime": 895.8204,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.837,
+    "eval_steps_per_second": 0.027,
+    "predict_gen_len": 102.79904306220095,
+    "predict_loss": 0.5273129343986511,
+    "predict_rouge1": 71.6159,
+    "predict_rouge2": 64.5443,
+    "predict_rougeL": 68.5346,
+    "predict_rougeLsum": 70.7007,
+    "predict_runtime": 4476.7789,
+    "predict_samples": 3762,
+    "predict_samples_per_second": 0.84,
+    "predict_steps_per_second": 0.026,
+    "total_flos": 4.893105473224704e+16,
+    "train_loss": 0.6436540338490576,
+    "train_runtime": 4577.7815,
+    "train_samples": 14262,
+    "train_samples_per_second": 15.577,
+    "train_steps_per_second": 0.974
+}

eval_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 5.0,
+    "eval_gen_len": 103.11866666666667,
+    "eval_loss": 0.5045868754386902,
+    "eval_rouge1": 72.7451,
+    "eval_rouge2": 65.6426,
+    "eval_rougeL": 69.7965,
+    "eval_rougeLsum": 71.8443,
+    "eval_runtime": 895.8204,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.837,
+    "eval_steps_per_second": 0.027
+}

predict_results.json

@@ -0,0 +1,12 @@
+{
+    "predict_gen_len": 102.79904306220095,
+    "predict_loss": 0.5273129343986511,
+    "predict_rouge1": 71.6159,
+    "predict_rouge2": 64.5443,
+    "predict_rougeL": 68.5346,
+    "predict_rougeLsum": 70.7007,
+    "predict_runtime": 4476.7789,
+    "predict_samples": 3762,
+    "predict_samples_per_second": 0.84,
+    "predict_steps_per_second": 0.026
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.0,
+    "total_flos": 4.893105473224704e+16,
+    "train_loss": 0.6436540338490576,
+    "train_runtime": 4577.7815,
+    "train_samples": 14262,
+    "train_samples_per_second": 15.577,
+    "train_steps_per_second": 0.974
+}

trainer_state.json

@@ -0,0 +1,130 @@
+{
+  "best_metric": 72.0617,
+  "best_model_checkpoint": "bin/indosum-seq_bn-rf64-0/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": 60.6185,
+      "eval_rougeL": 65.0879,
+      "eval_rougeLsum": 67.0846,
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+      "eval_samples_per_second": 3.752,
+      "eval_steps_per_second": 0.12,
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+  "logging_steps": 500,
+  "max_steps": 4460,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
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+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}