End of training

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "./bert-base-uncased-finetuned-sst2",
+  "architectures": [
+    "PackedPipelinedBertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "max_sequences_per_pack": 6,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float16",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

ipu_config.json

@@ -0,0 +1,24 @@
+{
+  "auto_loss_scaling": false,
+  "device_iterations": 32,
+  "embedding_serialization_factor": 2,
+  "enable_half_partials": true,
+  "executable_cache_dir": "./exe_cache/",
+  "execute_encoder_on_cpu_for_generation": false,
+  "gradient_accumulation_steps": 32,
+  "inference_device_iterations": 32,
+  "inference_replication_factor": 4,
+  "ipus_per_replica": 1,
+  "layers_per_ipu": [
+    12
+  ],
+  "matmul_proportion": 0.22,
+  "optimizer_state_offchip": false,
+  "optimum_version": "1.5.2.dev0",
+  "output_mode": "final",
+  "recompute_checkpoint_every_layer": true,
+  "replicated_tensor_sharding": false,
+  "replication_factor": 1,
+  "seed": 42,
+  "transformers_version": "4.25.1"
+}

pytorch_model.bin

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+oid sha256:df7d35cea5858248607aa274576e6ecfa09b3af5562d74de856373aaf07f7225
+size 219037557

training_args.bin

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