Training in progress, epoch 1

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "microsoft/deberta-base",
+  "architectures": [
+    "PoptorchPipelinedDebertaForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "c2p",
+    "p2c"
+  ],
+  "position_biased_input": false,
+  "relative_attention": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.20.0",
+  "type_vocab_size": 0,
+  "vocab_size": 50265
+}

eval_nbest_predictions.json

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ipu_config.json

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+{
+  "auto_loss_scaling": false,
+  "decompose_grad_sum": false,
+  "device_iterations": 1,
+  "embedding_serialization_factor": 0,
+  "enable_half_first_order_momentum": true,
+  "enable_half_partials": true,
+  "executable_cache_dir": "./exe_cache",
+  "execute_encoder_on_cpu_for_generation": false,
+  "gradient_accumulation_steps": 128,
+  "inference_device_iterations": 4,
+  "inference_replication_factor": 1,
+  "ipus_per_replica": 4,
+  "layers_per_ipu": [
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+    4,
+    4,
+    4
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+  "matmul_proportion": [
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+  "optimizer_state_offchip": true,
+  "optimum_version": "1.3.0",
+  "output_mode": "final",
+  "profile_dir": "",
+  "recompute_checkpoint_every_layer": true,
+  "replicated_tensor_sharding": false,
+  "replication_factor": 1,
+  "seed": 42,
+  "sharded_execution_for_inference": false,
+  "transformers_version": "4.20.0",
+  "use_popdist": false
+}

pytorch_model.bin

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special_tokens_map.json

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+{
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "[CLS]",
+    "lstrip": false,
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+  "name_or_path": "microsoft/deberta-base",
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+    "single_word": false
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+  "special_tokens_map_file": null,
+  "tokenizer_class": "DebertaTokenizer",
+  "unk_token": {
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+    "lstrip": false,
+    "normalized": true,
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+  "vocab_type": "gpt2"
+}

training_args.bin

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