End of training

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- id
 license: apache-2.0
 base_model: LazarusNLP/IndoNanoT5-base
 tags:
@@ -17,12 +19,12 @@ 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: 0.5204
-- Rouge1: 72.0194
-- Rouge2: 64.9755
-- Rougel: 68.9244
-- Rougelsum: 71.0549
-- Gen Len: 102.1173
+- Loss: 0.5442
+- Rouge1: 72.6224
+- Rouge2: 65.7072
+- Rougel: 69.4293
+- Rougelsum: 71.6325
+- Gen Len: 101.7893
 
 ## Model description
 

all_results.json

@@ -0,0 +1,29 @@
+{
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+    "eval_gen_len": 101.78933333333333,
+    "eval_loss": 0.5441932678222656,
+    "eval_rouge1": 72.6224,
+    "eval_rouge2": 65.7072,
+    "eval_rougeL": 69.4293,
+    "eval_rougeLsum": 71.6325,
+    "eval_runtime": 988.0304,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.759,
+    "eval_steps_per_second": 0.024,
+    "predict_gen_len": 101.4952025586354,
+    "predict_loss": 0.5291196703910828,
+    "predict_rouge1": 72.796,
+    "predict_rouge2": 66.0161,
+    "predict_rougeL": 69.9142,
+    "predict_rougeLsum": 71.9662,
+    "predict_runtime": 4936.0723,
+    "predict_samples": 3752,
+    "predict_samples_per_second": 0.76,
+    "predict_steps_per_second": 0.024,
+    "total_flos": 4.90582346563584e+16,
+    "train_loss": 0.6255005293362879,
+    "train_runtime": 4838.9085,
+    "train_samples": 14272,
+    "train_samples_per_second": 14.747,
+    "train_steps_per_second": 0.922
+}

eval_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 5.0,
+    "eval_gen_len": 101.78933333333333,
+    "eval_loss": 0.5441932678222656,
+    "eval_rouge1": 72.6224,
+    "eval_rouge2": 65.7072,
+    "eval_rougeL": 69.4293,
+    "eval_rougeLsum": 71.6325,
+    "eval_runtime": 988.0304,
+    "eval_samples": 750,
+    "eval_samples_per_second": 0.759,
+    "eval_steps_per_second": 0.024
+}

predict_results.json

@@ -0,0 +1,12 @@
+{
+    "predict_gen_len": 101.4952025586354,
+    "predict_loss": 0.5291196703910828,
+    "predict_rouge1": 72.796,
+    "predict_rouge2": 66.0161,
+    "predict_rougeL": 69.9142,
+    "predict_rougeLsum": 71.9662,
+    "predict_runtime": 4936.0723,
+    "predict_samples": 3752,
+    "predict_samples_per_second": 0.76,
+    "predict_steps_per_second": 0.024
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.0,
+    "total_flos": 4.90582346563584e+16,
+    "train_loss": 0.6255005293362879,
+    "train_runtime": 4838.9085,
+    "train_samples": 14272,
+    "train_samples_per_second": 14.747,
+    "train_steps_per_second": 0.922
+}

trainer_state.json

@@ -0,0 +1,130 @@
+{
+  "best_metric": 72.3075,
+  "best_model_checkpoint": "bin/indosum-lora-3/checkpoint-2676",
+  "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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+  "logging_steps": 500,
+  "max_steps": 4460,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
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+  "train_batch_size": 16,
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+  "trial_params": null
+}