Matej U
commited on
Commit
•
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Parent(s):
5748b6d
first version
Browse files- README.md +21 -1
- all_results.json +15 -0
- config.json +27 -0
- eval_results.json +10 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +19 -0
- tokenizer.json +0 -0
- tokenizer_config.json +24 -0
- train_results.json +8 -0
- trainer_state.json +5242 -0
- training_args.bin +3 -0
README.md
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---
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-
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---
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---
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tags:
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- generated_from_trainer
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language:
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- en
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- hi
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licence: cc-by-sa-4.0
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# muril-en-hi-codemixed
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muril-en-hi-codemixed is a masked language model, based on the [MuRIL](https://huggingface.co/google/muril-base-cased) multilingual model.
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muril-en-hi-codemixed replaces the tokenizer, vocabulary and the embeddings layer of the MuRIL model.
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The tokenizer and vocabulary used are the same as in the [roberta-en-hi-codemixed](https://huggingface.co/cjvt/roberta-en-hi-codemixed) model.
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The new embedding weights were initialized from the MuRIL embeddings.
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The new muril-en-hi-codemixed model was further pre-trained for two epochs on the same codemixed English and Hindi corpora
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as the [roberta-en-hi-codemixed](https://huggingface.co/cjvt/roberta-en-hi-codemixed) model.
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all_results.json
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{
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"epoch": 2.0,
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"eval_accuracy": 0.6136725432898202,
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"eval_loss": 1.900390625,
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"eval_runtime": 4886.2339,
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"eval_samples": 558499,
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"eval_samples_per_second": 114.301,
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"eval_steps_per_second": 0.893,
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"perplexity": 6.688506629955475,
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"train_loss": 0.02994945877374942,
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"train_runtime": 24111.6962,
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"train_samples": 110444789,
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"train_samples_per_second": 9161.097,
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"train_steps_per_second": 35.786
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}
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config.json
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{
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"_name_or_path": "./enhi-from-muril",
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"embedding_size": 768,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float16",
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"transformers_version": "4.22.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 40005
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_accuracy": 0.6136725432898202,
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"eval_loss": 1.900390625,
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"eval_runtime": 4886.2339,
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"eval_samples": 558499,
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"eval_samples_per_second": 114.301,
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"eval_steps_per_second": 0.893,
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"perplexity": 6.688506629955475
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:264d3ef4865c70c2e1ebdc80a4a7fbc03d1c85038c9172f1dca553227f72bc3c
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size 233646335
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"__type": "AddedToken",
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"name_or_path": "./enhi-from-muril",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"special_tokens_map_file": null,
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"tokenizer_class": "CamembertTokenizer",
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"unk_token": "<unk>"
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}
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train_results.json
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{
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"epoch": 2.0,
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"train_loss": 0.02994945877374942,
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"train_runtime": 24111.6962,
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"train_samples": 110444789,
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"train_samples_per_second": 9161.097,
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"train_steps_per_second": 35.786
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}
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trainer_state.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3cdeeac5c64ef58a3919f4edcd09f7bc8ad3fbe1f2741a9fedbf10c91f96ab5
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size 4411
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