Delete train_data/muril_mr_domain

train_data/muril_mr_domain/checkpoint-415000/rng_state.pth

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train_data/muril_mr_domain/checkpoint-415000/scheduler.pt

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train_data/muril_mr_domain/checkpoint-415000/training_args.bin

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train_data/muril_mr_domain/checkpoint-415322/README.md

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----
-base_model: google/muril-base-cased
-library_name: peft
----
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
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-## Model Details
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-### Model Description
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-- **Developed by:** [More Information Needed]
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-## Uses
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-## How to Get Started with the Model
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-Use the code below to get started with the model.
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-## Training Details
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-### Training Data
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-### Training Procedure
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-#### Preprocessing [optional]
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-#### Training Hyperparameters
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-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-### Framework versions
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-- PEFT 0.13.2

train_data/muril_mr_domain/checkpoint-415322/adapter_config.json

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-{
-  "alpha_pattern": {},
-  "auto_mapping": {
-    "base_model_class": "BertForMaskedLM",
-    "parent_library": "transformers.models.bert.modeling_bert"
-  },
-  "base_model_name_or_path": "google/muril-base-cased",
-  "bias": "none",
-  "fan_in_fan_out": false,
-  "inference_mode": true,
-  "init_lora_weights": true,
-  "layer_replication": null,
-  "layers_pattern": null,
-  "layers_to_transform": null,
-  "loftq_config": {},
-  "lora_alpha": 32,
-  "lora_dropout": 0.1,
-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 16,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "value",
-    "query"
-  ],
-  "task_type": null,
-  "use_dora": false,
-  "use_rslora": false
-}

train_data/muril_mr_domain/checkpoint-415322/adapter_model.safetensors

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train_data/muril_mr_domain/checkpoint-415322/optimizer.pt

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train_data/muril_mr_domain/checkpoint-415322/rng_state.pth

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train_data/muril_mr_domain/checkpoint-415322/scheduler.pt

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train_data/muril_mr_domain/checkpoint-415322/training_args.bin

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train_data/muril_mr_domain/config.json

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-{
-  "_name_or_path": "google/muril-base-cased",
-  "architectures": [
-    "BertForMaskedLM"
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-  "intermediate_size": 3072,
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
-  "model_type": "bert",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
-  "pad_token_id": 0,
-  "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
-  "transformers_version": "4.46.3",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 197285
-}

train_data/muril_mr_domain/generation_config.json

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-{
-  "_from_model_config": true,
-  "pad_token_id": 0,
-  "transformers_version": "4.46.3"
-}

train_data/muril_mr_domain/model.safetensors

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train_data/muril_mr_domain/special_tokens_map.json

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-{
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
-}

train_data/muril_mr_domain/tokenizer_config.json

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-{
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-    "0": {
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-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
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-  "do_basic_tokenize": true,
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-  "tokenize_chinese_chars": true,
-  "tokenizer_class": "BertTokenizer",
-  "unk_token": "[UNK]"
-}