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Model: Magpie-Align/Llama-3-8B-Magpie-Pro-SFT-200K-v0.1 Source: Original Platform
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---
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name: Llama-3-8B-Magpie-Pro-SFT-200K-v0.1
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results: []
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---
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# Magpie-Align/Llama-3-8B-Magpie-Pro-SFT-200K-v0.1
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Project Web: [https://magpie-align.github.io/](https://magpie-align.github.io/)
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Arxiv Technical Report: [https://arxiv.org/abs/2406.08464](https://arxiv.org/abs/2406.08464)
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Codes: [https://github.com/magpie-align/magpie](https://github.com/magpie-align/magpie)
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## About This Model
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on **First 200K data** of [Magpie-Align/Magpie-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-300K-Filtered) dataset.
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Please use [Magpie-Align/Llama-3-8B-Magpie-Pro-SFT-v0.1](https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Pro-SFT-v0.1) with better performance.
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.8686 | 0.0018 | 1 | 0.8670 |
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| 0.514 | 0.3342 | 184 | 0.5190 |
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| 0.4769 | 0.6685 | 368 | 0.4684 |
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| 0.4394 | 1.0027 | 552 | 0.4440 |
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| 0.3399 | 1.3224 | 736 | 0.4436 |
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| 0.3394 | 1.6567 | 920 | 0.4413 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.0`
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```yaml
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base_model: meta-llama/Meta-Llama-3-8B
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model_type: LlamaForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: Magpie-Align/Magpie-Pro-300K-Filtered-First200K
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type: sharegpt
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conversation: llama3
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.001
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output_dir: ./out_Llama-3-8B-Magpie-Pro-200K-FilteredL
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sequence_len: 8192
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sample_packing: true
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eval_sample_packing: false
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pad_to_sequence_len: true
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gradient_accumulation_steps: 8
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micro_batch_size: 1
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num_epochs: 2
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optimizer: paged_adamw_8bit
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lr_scheduler: cosine
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learning_rate: 2e-5
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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tf32: false
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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early_stopping_patience:
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resume_from_checkpoint:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 100
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evals_per_epoch: 3
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eval_table_size:
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saves_per_epoch: 1
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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pad_token: <|end_of_text|>
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```
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</details><br>
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"_name_or_path": "meta-llama/Meta-Llama-3-8B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"use_cache": false,
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"vocab_size": 128256
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}
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"temperature": 0.6,
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"transformers_version": "4.40.2"
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}
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Load Diff
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checkpoint-1100/tokenizer_config.json
Normal file
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Normal file
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checkpoint-1100/trainer_state.json
Normal file
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checkpoint-1100/trainer_state.json
Normal file
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Normal file
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28
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Normal file
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|
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|
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|
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Normal file
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Normal file
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Normal file
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Normal file
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Normal file
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|
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|
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410563
checkpoint-550/tokenizer.json
Normal file
410563
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Normal file
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Load Diff
2062
checkpoint-550/tokenizer_config.json
Normal file
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checkpoint-550/tokenizer_config.json
Normal file
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3895
checkpoint-550/trainer_state.json
Normal file
3895
checkpoint-550/trainer_state.json
Normal file
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3
checkpoint-550/training_args.bin
Normal file
3
checkpoint-550/training_args.bin
Normal file
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|
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28
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Normal file
28
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Normal file
@@ -0,0 +1,28 @@
|
|||||||
|
{
|
||||||
|
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|
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|
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|
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|
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|
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|
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Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
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|
||||||
10
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Normal file
10
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Normal file
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|
{
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|
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||||||
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||||||
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|
||||||
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||||||
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||||||
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||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"model.norm.weight": "pytorch_model-00004-of-00004.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|end_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|end_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
410504
tokenizer.json
Normal file
410504
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:acfdd936d2ba45f8c9b9b7cbbc505a6f7b90e583f2d68f5ad65a25f1ea2d340d
|
||||||
|
size 6008
|
||||||
Reference in New Issue
Block a user