End of training
Browse files- README.md +81 -0
- config.json +46 -0
- final_checkpoint/config.json +46 -0
- final_checkpoint/generation_config.json +6 -0
- final_checkpoint/model-00001-of-00003.safetensors +3 -0
- final_checkpoint/model-00002-of-00003.safetensors +3 -0
- final_checkpoint/model-00003-of-00003.safetensors +3 -0
- final_checkpoint/model.safetensors.index.json +201 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +201 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +212 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: mosaicml/mpt-7b-instruct
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: mpt_1000_STEPS_1e5_SFT_SFT
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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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# mpt_1000_STEPS_1e5_SFT_SFT
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This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3857
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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: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_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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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.5003 | 0.05 | 50 | 0.4827 |
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| 0.4582 | 0.1 | 100 | 0.5370 |
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| 0.485 | 0.15 | 150 | 0.4682 |
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| 0.5202 | 0.2 | 200 | 0.4486 |
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| 0.4687 | 0.24 | 250 | 0.4494 |
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| 0.469 | 0.29 | 300 | 0.4485 |
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| 0.4331 | 0.34 | 350 | 0.4359 |
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| 0.4189 | 0.39 | 400 | 0.4268 |
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| 0.4444 | 0.44 | 450 | 0.4190 |
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| 0.4187 | 0.49 | 500 | 0.4140 |
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| 0.4045 | 0.54 | 550 | 0.4090 |
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| 0.4159 | 0.59 | 600 | 0.4021 |
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| 0.3862 | 0.64 | 650 | 0.3973 |
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| 0.3773 | 0.68 | 700 | 0.3930 |
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| 0.382 | 0.73 | 750 | 0.3893 |
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| 0.3892 | 0.78 | 800 | 0.3873 |
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| 0.4079 | 0.83 | 850 | 0.3862 |
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| 0.3667 | 0.88 | 900 | 0.3857 |
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| 0.3724 | 0.93 | 950 | 0.3857 |
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| 0.3908 | 0.98 | 1000 | 0.3857 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.0.0+cu117
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "mosaicml/mpt-7b-instruct",
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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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"auto_map": {
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"AutoConfig": "mosaicml/mpt-7b-instruct--configuration_mpt.MPTConfig",
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"AutoModelForCausalLM": "mosaicml/mpt-7b-instruct--modeling_mpt.MPTForCausalLM"
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},
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"d_model": 4096,
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"emb_pdrop": 0,
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"embedding_fraction": 1.0,
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"expansion_ratio": 4,
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"init_config": {
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"emb_init_std": null,
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"emb_init_uniform_lim": null,
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"fan_mode": "fan_in",
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"init_div_is_residual": true,
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"init_gain": 0,
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"init_nonlinearity": "relu",
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"init_std": 0.02,
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"name": "kaiming_normal_",
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"verbose": 0
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},
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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": 2048,
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"model_type": "mpt",
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"n_heads": 32,
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"n_layers": 32,
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"no_bias": true,
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"norm_type": "low_precision_layernorm",
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"resid_pdrop": 0,
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"tokenizer_name": "EleutherAI/gpt-neox-20b",
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"torch_dtype": "float16",
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"transformers_version": "4.39.3",
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"use_cache": false,
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"verbose": 0,
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"vocab_size": 50432
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}
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final_checkpoint/config.json
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{
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"_name_or_path": "mosaicml/mpt-7b-instruct",
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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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"auto_map": {
|
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"AutoConfig": "mosaicml/mpt-7b-instruct--configuration_mpt.MPTConfig",
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"AutoModelForCausalLM": "mosaicml/mpt-7b-instruct--modeling_mpt.MPTForCausalLM"
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},
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"d_model": 4096,
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"emb_pdrop": 0,
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"embedding_fraction": 1.0,
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"expansion_ratio": 4,
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"init_config": {
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"emb_init_std": null,
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"fan_mode": "fan_in",
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"init_div_is_residual": true,
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"init_gain": 0,
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"init_nonlinearity": "relu",
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"init_std": 0.02,
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"name": "kaiming_normal_",
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"verbose": 0
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},
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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": 2048,
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"model_type": "mpt",
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"n_heads": 32,
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"n_layers": 32,
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"no_bias": true,
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"norm_type": "low_precision_layernorm",
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"resid_pdrop": 0,
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"tokenizer_name": "EleutherAI/gpt-neox-20b",
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"torch_dtype": "float16",
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"transformers_version": "4.39.3",
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"use_cache": false,
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"verbose": 0,
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"vocab_size": 50432
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}
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final_checkpoint/generation_config.json
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{
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"_from_model_config": true,
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"eos_token_id": 0,
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"transformers_version": "4.39.3",
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"use_cache": false
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}
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final_checkpoint/model-00001-of-00003.safetensors
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final_checkpoint/model-00002-of-00003.safetensors
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final_checkpoint/model-00003-of-00003.safetensors
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final_checkpoint/model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
ADDED
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training_args.bin
ADDED
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|
1 |
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