End of training
Browse files- README.md +89 -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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- dpo
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- generated_from_trainer
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model-index:
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- name: MPT_1000_STEPS_1e8_rate_01_beta_DPO
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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_1e8_rate_01_beta_DPO
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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: 0.6939
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- Rewards/chosen: -0.0008
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- Rewards/rejected: 0.0005
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- Rewards/accuracies: 0.4747
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- Rewards/margins: -0.0013
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- Logps/rejected: -21.5525
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- Logps/chosen: -20.8004
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- Logits/rejected: 14.2517
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- Logits/chosen: 14.2543
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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-08
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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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.6939 | 0.05 | 50 | 0.6936 | -0.0008 | -0.0000 | 0.4791 | -0.0007 | -21.5578 | -20.7998 | 14.2549 | 14.2575 |
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| 0.6946 | 0.1 | 100 | 0.6930 | -0.0001 | -0.0005 | 0.4923 | 0.0004 | -21.5626 | -20.7929 | 14.2554 | 14.2579 |
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| 0.6931 | 0.15 | 150 | 0.6935 | -0.0014 | -0.0009 | 0.4967 | -0.0005 | -21.5666 | -20.8066 | 14.2572 | 14.2598 |
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| 0.6917 | 0.2 | 200 | 0.6929 | 0.0003 | -0.0004 | 0.4813 | 0.0006 | -21.5611 | -20.7895 | 14.2562 | 14.2588 |
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| 0.6954 | 0.24 | 250 | 0.6940 | -0.0021 | -0.0006 | 0.4857 | -0.0015 | -21.5632 | -20.8129 | 14.2623 | 14.2649 |
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| 0.6932 | 0.29 | 300 | 0.6931 | -0.0008 | -0.0009 | 0.4967 | 0.0001 | -21.5667 | -20.8001 | 14.2610 | 14.2636 |
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| 0.6954 | 0.34 | 350 | 0.6934 | -0.0012 | -0.0009 | 0.5011 | -0.0003 | -21.5662 | -20.8041 | 14.2641 | 14.2667 |
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| 0.6891 | 0.39 | 400 | 0.6945 | -0.0025 | 0.0001 | 0.4725 | -0.0026 | -21.5566 | -20.8174 | 14.2546 | 14.2572 |
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| 0.6917 | 0.44 | 450 | 0.6935 | -0.0011 | -0.0005 | 0.4593 | -0.0006 | -21.5622 | -20.8030 | 14.2562 | 14.2588 |
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| 0.6908 | 0.49 | 500 | 0.6936 | -0.0018 | -0.0010 | 0.4813 | -0.0007 | -21.5679 | -20.8101 | 14.2507 | 14.2533 |
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| 0.6927 | 0.54 | 550 | 0.6941 | -0.0016 | 0.0001 | 0.4681 | -0.0017 | -21.5560 | -20.8079 | 14.2549 | 14.2575 |
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| 0.6923 | 0.59 | 600 | 0.6939 | -0.0011 | 0.0003 | 0.4527 | -0.0014 | -21.5542 | -20.8035 | 14.2539 | 14.2565 |
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| 0.6946 | 0.64 | 650 | 0.6944 | -0.0013 | 0.0012 | 0.4593 | -0.0024 | -21.5459 | -20.8048 | 14.2527 | 14.2553 |
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| 0.6918 | 0.68 | 700 | 0.6934 | -0.0002 | 0.0002 | 0.4747 | -0.0004 | -21.5558 | -20.7942 | 14.2531 | 14.2557 |
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| 0.6923 | 0.73 | 750 | 0.6939 | -0.0011 | 0.0002 | 0.4967 | -0.0013 | -21.5551 | -20.8028 | 14.2522 | 14.2547 |
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| 0.6895 | 0.78 | 800 | 0.6937 | -0.0006 | 0.0004 | 0.4945 | -0.0010 | -21.5532 | -20.7977 | 14.2513 | 14.2539 |
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| 0.6936 | 0.83 | 850 | 0.6937 | -0.0007 | 0.0003 | 0.4945 | -0.0010 | -21.5541 | -20.7990 | 14.2516 | 14.2542 |
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| 0.6904 | 0.88 | 900 | 0.6939 | -0.0008 | 0.0005 | 0.4747 | -0.0013 | -21.5525 | -20.8004 | 14.2517 | 14.2543 |
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| 0.6926 | 0.93 | 950 | 0.6939 | -0.0008 | 0.0005 | 0.4747 | -0.0013 | -21.5525 | -20.8004 | 14.2517 | 14.2543 |
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| 0.691 | 0.98 | 1000 | 0.6939 | -0.0008 | 0.0005 | 0.4747 | -0.0013 | -21.5525 | -20.8004 | 14.2517 | 14.2543 |
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### Framework versions
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- Transformers 4.39.1
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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,
|
40 |
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"tokenizer_name": "EleutherAI/gpt-neox-20b",
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"torch_dtype": "float16",
|
42 |
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"transformers_version": "4.39.1",
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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": [
|
4 |
+
"MptForCausalLM"
|
5 |
+
],
|
6 |
+
"attn_config": {
|
7 |
+
"model_type": ""
|
8 |
+
},
|
9 |
+
"auto_map": {
|
10 |
+
"AutoConfig": "mosaicml/mpt-7b-instruct--configuration_mpt.MPTConfig",
|
11 |
+
"AutoModelForCausalLM": "mosaicml/mpt-7b-instruct--modeling_mpt.MPTForCausalLM"
|
12 |
+
},
|
13 |
+
"d_model": 4096,
|
14 |
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"emb_pdrop": 0,
|
15 |
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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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20 |
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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",
|
24 |
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"init_std": 0.02,
|
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"name": "kaiming_normal_",
|
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"verbose": 0
|
27 |
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},
|
28 |
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"init_device": "cpu",
|
29 |
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"initializer_range": 0.02,
|
30 |
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"layer_norm_epsilon": 1e-05,
|
31 |
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"learned_pos_emb": true,
|
32 |
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"logit_scale": null,
|
33 |
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"max_seq_len": 2048,
|
34 |
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"model_type": "mpt",
|
35 |
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"n_heads": 32,
|
36 |
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"n_layers": 32,
|
37 |
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"no_bias": true,
|
38 |
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"norm_type": "low_precision_layernorm",
|
39 |
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"resid_pdrop": 0,
|
40 |
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"tokenizer_name": "EleutherAI/gpt-neox-20b",
|
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"torch_dtype": "float16",
|
42 |
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"transformers_version": "4.39.1",
|
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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
ADDED
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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": "4.39.1",
|
5 |
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"use_cache": false
|
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}
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final_checkpoint/model-00001-of-00003.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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size 4976746424
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final_checkpoint/model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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final_checkpoint/model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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final_checkpoint/model.safetensors.index.json
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{
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special_tokens_map.json
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tokenizer.json
ADDED
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
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:987dc7175c79f98add03ce4687aa61a150152c88cdc17b5b966dae121de12dec
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3 |
+
size 4475
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