End of training

README.md

@@ -1,9 +1,24 @@
 ---
 tags:
 - generated_from_trainer
+datasets:
+- akahana/GlotCC-V1-jav-Latn
+metrics:
+- accuracy
 model-index:
 - name: smallbert-javanese
-  results: []
+  results:
+  - task:
+      name: Masked Language Modeling
+      type: fill-mask
+    dataset:
+      name: akahana/GlotCC-V1-jav-Latn default
+      type: akahana/GlotCC-V1-jav-Latn
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.14000572230472635
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -11,7 +26,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # smallbert-javanese
 
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on the akahana/GlotCC-V1-jav-Latn default dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.5218
+- Accuracy: 0.1400
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.14000572230472635,
+    "eval_loss": 6.5218329429626465,
+    "eval_runtime": 5.6501,
+    "eval_samples": 963,
+    "eval_samples_per_second": 170.44,
+    "eval_steps_per_second": 10.796,
+    "perplexity": 679.8233214153153,
+    "total_flos": 7568723438714880.0,
+    "train_loss": 6.792878454773869,
+    "train_runtime": 2074.686,
+    "train_samples": 19092,
+    "train_samples_per_second": 92.024,
+    "train_steps_per_second": 2.878
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.14000572230472635,
+    "eval_loss": 6.5218329429626465,
+    "eval_runtime": 5.6501,
+    "eval_samples": 963,
+    "eval_samples_per_second": 170.44,
+    "eval_steps_per_second": 10.796,
+    "perplexity": 679.8233214153153
+}

runs/Jul31_01-10-27_390be55cffea/events.out.tfevents.1722390347.390be55cffea.3947.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef46e73c03f37c8e8ac16b701613cc506f3c564fed11c2741aacd60b2a3aff22
+size 411

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 10.0,
+    "total_flos": 7568723438714880.0,
+    "train_loss": 6.792878454773869,
+    "train_runtime": 2074.686,
+    "train_samples": 19092,
+    "train_samples_per_second": 92.024,
+    "train_steps_per_second": 2.878
+}

trainer_state.json

@@ -0,0 +1,119 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 10.0,
+  "eval_steps": 500,
+  "global_step": 5970,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.8375209380234506,
+      "grad_norm": 0.8667312860488892,
+      "learning_rate": 4.581239530988275e-05,
+      "loss": 7.6874,
+      "step": 500
+    },
+    {
+      "epoch": 1.675041876046901,
+      "grad_norm": 1.0515320301055908,
+      "learning_rate": 4.16247906197655e-05,
+      "loss": 7.1236,
+      "step": 1000
+    },
+    {
+      "epoch": 2.5125628140703515,
+      "grad_norm": 0.9544970393180847,
+      "learning_rate": 3.7437185929648245e-05,
+      "loss": 6.9511,
+      "step": 1500
+    },
+    {
+      "epoch": 3.3500837520938025,
+      "grad_norm": 1.0608201026916504,
+      "learning_rate": 3.324958123953099e-05,
+      "loss": 6.8374,
+      "step": 2000
+    },
+    {
+      "epoch": 4.187604690117253,
+      "grad_norm": 1.3822133541107178,
+      "learning_rate": 2.906197654941374e-05,
+      "loss": 6.7455,
+      "step": 2500
+    },
+    {
+      "epoch": 5.025125628140704,
+      "grad_norm": 1.3496253490447998,
+      "learning_rate": 2.4874371859296484e-05,
+      "loss": 6.6841,
+      "step": 3000
+    },
+    {
+      "epoch": 5.8626465661641545,
+      "grad_norm": 1.0734386444091797,
+      "learning_rate": 2.0686767169179232e-05,
+      "loss": 6.6407,
+      "step": 3500
+    },
+    {
+      "epoch": 6.700167504187605,
+      "grad_norm": 1.4356346130371094,
+      "learning_rate": 1.6499162479061976e-05,
+      "loss": 6.6059,
+      "step": 4000
+    },
+    {
+      "epoch": 7.5376884422110555,
+      "grad_norm": 1.3260369300842285,
+      "learning_rate": 1.2311557788944725e-05,
+      "loss": 6.5782,
+      "step": 4500
+    },
+    {
+      "epoch": 8.375209380234505,
+      "grad_norm": 1.589943528175354,
+      "learning_rate": 8.123953098827471e-06,
+      "loss": 6.5581,
+      "step": 5000
+    },
+    {
+      "epoch": 9.212730318257956,
+      "grad_norm": 1.1932653188705444,
+      "learning_rate": 3.936348408710218e-06,
+      "loss": 6.5496,
+      "step": 5500
+    },
+    {
+      "epoch": 10.0,
+      "step": 5970,
+      "total_flos": 7568723438714880.0,
+      "train_loss": 6.792878454773869,
+      "train_runtime": 2074.686,
+      "train_samples_per_second": 92.024,
+      "train_steps_per_second": 2.878
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 5970,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 7568723438714880.0,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}