Added model and config

config.json

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+{
+  "_name_or_path": "albert-large-v2",
+  "architectures": [
+    "AlbertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "finetuning_task": "mnli",
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "entailment",
+    "1": "neutral",
+    "2": "contradiction"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 4096,
+  "label2id": {
+    "contradiction": 2,
+    "entailment": 0,
+    "neutral": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 16,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 24,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

eval_results.json

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+{"eval_loss": 0.42330920696258545, "eval_accuracy": 0.86571574121243, "eval_runtime": 70.2234, "eval_samples_per_second": 139.768, "eval_steps_per_second": 17.473}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d166b20990e03704cbb1e75e3bda0908327c1a03dab73d8668561e030c2de73a
+size 70761861

train_results.json

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+{"eval_loss": 0.1369238793849945, "eval_accuracy": 0.9567916639080015, "eval_runtime": 2807.8104, "eval_samples_per_second": 139.861, "eval_steps_per_second": 17.483}