feat: actualizar XLM-R (100k/10k), mejor precisión; thr~0.48

config.json

@@ -9,8 +9,16 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
+  "id2label": {
+    "0": "NEGATIVE",
+    "1": "POSITIVE"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
+  "label2id": {
+    "NEGATIVE": 0,
+    "POSITIVE": 1
+  },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
   "model_type": "xlm-roberta",

eval_metrics.json

@@ -0,0 +1,11 @@
+{
+  "eval_loss": 0.3588135838508606,
+  "eval_accuracy": 0.8519,
+  "eval_f1": 0.887299292291302,
+  "eval_precision": 0.8663991677812454,
+  "eval_recall": 0.9092326887086712,
+  "eval_runtime": 22.7158,
+  "eval_samples_per_second": 440.221,
+  "eval_steps_per_second": 13.779,
+  "epoch": 3.0
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a286e79a984100b47fdc45b794412b93712f0d112ee3a917f9149e1d71cb8278
+oid sha256:818a206f8dad9edcf08683557e60b7e6b6d6ff9732a9d9247ed55460dacb3f3f
 size 1112205008

threshold_best.json

@@ -0,0 +1,6 @@
+{
+  "thr": 0.48,
+  "f1": 0.8875901328273245,
+  "p": 0.8645571491941446,
+  "r": 0.9118839675608235
+}

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8776fd0a448eb1a5e51dba9b5e27bf8fa07748404419584094cda8a5d45f230c
+oid sha256:b23444b60024edc9ee3c6e61c78da67edd5826ffab2023c671e8667113f4be6a
 size 5304