VTSNLP/base_LLM_CAC_ND_400M_final
Browse files- README.md +52 -0
- config.json +34 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- runs/Oct21_02-56-56_kao-dgxa-e10-u17/events.out.tfevents.1729475849.kao-dgxa-e10-u17.1116475.0 +3 -0
- runs/Oct21_08-03-54_kao-dgxa-e10-u17/events.out.tfevents.1729494243.kao-dgxa-e10-u17.2649433.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: wanderer2k1/base_LLM_433MB_chunk_and_concat_no_domain
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tags:
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- generated_from_trainer
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model-index:
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- name: base_LLM_CAC_ND_400M_final
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results: []
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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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# base_LLM_CAC_ND_400M_final
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This model is a fine-tuned version of [wanderer2k1/base_LLM_433MB_chunk_and_concat_no_domain](https://huggingface.co/wanderer2k1/base_LLM_433MB_chunk_and_concat_no_domain) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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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: 3.6e-05
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- train_batch_size: 4
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "wanderer2k1/base_LLM_433MB_chunk_and_concat_no_domain",
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"abili": false,
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"architectures": [
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"MptForCausalLM"
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],
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"attn_config": {
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"model_type": ""
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},
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"d_model": 1024,
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"emb_pdrop": 0.0,
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"embedding_fraction": 1.0,
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"expansion_ratio": 4,
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"init_device": "cpu",
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"learned_pos_emb": true,
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"logit_scale": null,
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"max_seq_len": 8192,
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"model_type": "mpt",
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"n_heads": 16,
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"n_layers": 24,
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"no_bias": true,
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"norm_type": "low_precision_layernorm",
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"pad_token_id": 128001,
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"resid_pdrop": 0.0,
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"rope": true,
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"rope_theta": 100000,
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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"use_cache": false,
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"verbose": 0,
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"vocab_size": 128256
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}
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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 128009,
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"transformers_version": "4.40.1",
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"use_cache": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:58b327906b01610b768bd688fe2eb1131282433b6e926558ab27e983866d84c4
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size 1733513312
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runs/Oct21_02-56-56_kao-dgxa-e10-u17/events.out.tfevents.1729475849.kao-dgxa-e10-u17.1116475.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:08d470ae01aff756ae487955f21262f3bbe2c85eb1d823938d13b176eb3af7f0
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size 122495
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runs/Oct21_08-03-54_kao-dgxa-e10-u17/events.out.tfevents.1729494243.kao-dgxa-e10-u17.2649433.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:33c75e22aaff89d1f351aeb894a622870772ae0a9e10c9e85118dc295cbd34b6
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size 219390
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5112
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