End of training

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: HorAI-medium-10k
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # HorAI-medium-10k
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4324
+- Accuracy: 0.8062
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.8061855670103093,
+    "eval_loss": 0.4324069619178772,
+    "eval_runtime": 5.4072,
+    "eval_samples": 970,
+    "eval_samples_per_second": 179.39,
+    "eval_steps_per_second": 2.959,
+    "train_loss": 0.5012646675109863,
+    "train_runtime": 60.4881,
+    "train_samples": 7758,
+    "train_samples_per_second": 641.283,
+    "train_steps_per_second": 1.323
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.8061855670103093,
+    "eval_loss": 0.4324069619178772,
+    "eval_runtime": 5.4072,
+    "eval_samples": 970,
+    "eval_samples_per_second": 179.39,
+    "eval_steps_per_second": 2.959
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "train_loss": 0.5012646675109863,
+    "train_runtime": 60.4881,
+    "train_samples": 7758,
+    "train_samples_per_second": 641.283,
+    "train_steps_per_second": 1.323
+}

trainer_state.json

@@ -0,0 +1,28 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 80,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 5.0,
+      "step": 80,
+      "total_flos": 2551519459353600.0,
+      "train_loss": 0.5012646675109863,
+      "train_runtime": 60.4881,
+      "train_samples_per_second": 641.283,
+      "train_steps_per_second": 1.323
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 80,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "total_flos": 2551519459353600.0,
+  "trial_name": null,
+  "trial_params": null
+}