Commit From AutoTrain

.gitattributes

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+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- autotrain
+- translation
+language:
+- en
+- hi
+datasets:
+- singhajeet13/autotrain-data-NMT
+co2_eq_emissions: 1.0568409665060605
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Translation
+- Model ID: 778623908
+- CO2 Emissions (in grams): 1.0568409665060605
+
+## Validation Metrics
+
+- Loss: 2.4664785861968994
+- SacreBLEU: 1.6168
+- Gen len: 17.645

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "max_length": 256,
+  "model_type": "mt5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "use_cache": true,
+  "vocab_size": 250100
+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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