All right, changing absolutely nothing except model_type, I no longer get “IndexError: index out of range in self”, and it seems to be training? But yet, it still reads in and displays this from config.json:
[INFO|configuration_utils.py:553] 2021-06-07 09:17:42,045 >> Model config RobertaConfig {
"architectures": [
"RobertaForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"eos_token_id": 2,
"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-05,
"max_position_embeddings": 207,
"model_type": "roberta",
"num_attention_heads": 6,
"num_hidden_layers": 3,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"transformers_version": "4.7.0.dev0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 52000
}
Updated command, only changed model_type:
python run_mlm.py \
--model_type bert \
--tokenizer_name /home/cleong/projects/personal/colin-summer-2021/EsperBERTo/ \
--train_file /home/cleong/projects/personal/colin-summer-2021/data/oscar.eo.txt \
--max_seq_length 512 \
--do_train \
--output_dir ./output/test-mlm