Nuevo reto, nuevo tema en Platzi! 🤗

README.md

@@ -2,7 +2,11 @@
 license: apache-2.0
 base_model: distilroberta-base
 tags:
+- text-classification
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: platzi-distilroberta-base-mrpc-wgcv
   results: []
@@ -13,7 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # platzi-distilroberta-base-mrpc-wgcv
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue and the mrpc datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.4053
+- Accuracy: 0.8358
+- F1: 0.8847
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8357843137254902,
+    "eval_f1": 0.8846815834767642,
+    "eval_loss": 0.4053478538990021,
+    "eval_runtime": 35.0691,
+    "eval_samples_per_second": 11.634,
+    "eval_steps_per_second": 0.371,
+    "total_flos": 235624315556256.0,
+    "train_loss": 0.4036261074784873,
+    "train_runtime": 3078.6117,
+    "train_samples_per_second": 3.574,
+    "train_steps_per_second": 0.112
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8357843137254902,
+    "eval_f1": 0.8846815834767642,
+    "eval_loss": 0.4053478538990021,
+    "eval_runtime": 35.0691,
+    "eval_samples_per_second": 11.634,
+    "eval_steps_per_second": 0.371
+}

runs/Jun23_16-21-02_44df2b91e38b/events.out.tfevents.1719164314.44df2b91e38b.17693.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4459f04c13d236012100afbba6322f404b6fb1db2f6382a0dc8b04a5d07038bc
+size 457

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 235624315556256.0,
+    "train_loss": 0.4036261074784873,
+    "train_runtime": 3078.6117,
+    "train_samples_per_second": 3.574,
+    "train_steps_per_second": 0.112
+}

trainer_state.json

@@ -0,0 +1,42 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 345,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 3.0,
+      "step": 345,
+      "total_flos": 235624315556256.0,
+      "train_loss": 0.4036261074784873,
+      "train_runtime": 3078.6117,
+      "train_samples_per_second": 3.574,
+      "train_steps_per_second": 0.112
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 345,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": false,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 235624315556256.0,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}