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all_results.json +12 -0
config.json +39 -0
predict_results.json +6 -0
predictions.txt +1498 -0
pytorch_model.bin +3 -0
sentencepiece.bpe.model +3 -0
special_tokens_map.json +15 -0
tokenizer.json +0 -0
tokenizer_config.json +21 -0
train_results.json +8 -0
trainer_state.json +31 -0
training_args.bin +3 -0

all_results.json ADDED Viewed

	@@ -0,0 +1,12 @@

+{
+    "epoch": 5.0,
+    "predict_runtime": 3.2345,
+    "predict_samples": 1497,
+    "predict_samples_per_second": 462.819,
+    "predict_steps_per_second": 58.123,
+    "train_loss": 1.0310750216723763,
+    "train_runtime": 163.2592,
+    "train_samples": 5984,
+    "train_samples_per_second": 183.267,
+    "train_steps_per_second": 5.727
+}

config.json ADDED Viewed

	@@ -0,0 +1,39 @@

+{
+  "_name_or_path": "Davlan/afro-xlmr-small",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "negative",
+    "1": "neutral",
+    "2": "positive"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "negative": 0,
+    "neutral": 1,
+    "positive": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.0.dev0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 70611
+}

predict_results.json ADDED Viewed

	@@ -0,0 +1,6 @@

+{
+    "predict_runtime": 3.2345,
+    "predict_samples": 1497,
+    "predict_samples_per_second": 462.819,
+    "predict_steps_per_second": 58.123
+}

predictions.txt ADDED Viewed

	@@ -0,0 +1,1498 @@

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