first release

README.md

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+---
+language:
+- sl
+
+license: cc-by-sa-4.0
+---
+
+# t5-sl-large
+t5-sl-large model is a Slovene T5 model. It has 24 encoder and 24 decoder layers, in total about 750 million parameters.
+It was trained for 3 epochs on the following corpora:
+
+## Corpora
+The following corpora were used for training the model:
+* Gigafida 2.0
+* Kas 1.0
+* Janes 1.0 (only Janes-news, Janes-forum, Janes-blog, Janes-wiki subcorpora)
+* Slovenian parliamentary corpus siParl 2.0
+* slWaC
+
+## Evaluation
+The model is described in detail and evaluated in our paper ["*Sequence to sequence pretraining for a less-resourced Slovenian language*"](https://arxiv.org/abs/2207.13988)

config.json

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+{
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2816,
+  "d_kv": 64,
+  "d_model": 1024,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.0,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 16,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.19.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

pytorch_model.bin

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+size 3131733285

spiece.model

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tokenizer_config.json

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