Yhhhhhhhhh
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Browse files- README.md +60 -3
- all_results.json +12 -0
- config.json +33 -0
- eval_results.json +7 -0
- generation_config.json +6 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +226 -0
- runs/Nov09_10-04-36_5937a45575d7/events.out.tfevents.1731146687.5937a45575d7.28655.0 +3 -0
- runs/Nov09_10-04-36_5937a45575d7/events.out.tfevents.1731152130.5937a45575d7.28655.1 +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +196 -0
- train_results.json +8 -0
- trainer_log.jsonl +329 -0
- trainer_state.json +2338 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
README.md
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---
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---
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library_name: transformers
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license: other
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base_model: deepseek-ai/deepseek-coder-1.3b-instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: one_merge_yhhhhhhh_deepseek-coder-1.3b-instruct
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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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# one_merge_yhhhhhhh_deepseek-coder-1.3b-instruct
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct) on the output dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1964
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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: 5e-06
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- train_batch_size: 8
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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: 16
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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_ratio: 0.03
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- num_epochs: 4.0
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### Training results
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 3.9975624619134673,
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"eval_loss": 0.19639351963996887,
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"eval_runtime": 0.8898,
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"eval_samples_per_second": 1.124,
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"eval_steps_per_second": 1.124,
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"total_flos": 3.38221904554623e+17,
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"train_loss": 0.21007875238613385,
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"train_runtime": 5418.5603,
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"train_samples_per_second": 9.688,
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"train_steps_per_second": 0.605
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}
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config.json
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"architectures": [
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"attention_bias": false,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5504,
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"max_position_embeddings": 16384,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"factor": 4.0,
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"rope_type": "linear",
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"type": "linear"
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"rope_theta": 100000,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"use_cache": false,
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"vocab_size": 32256
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}
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eval_results.json
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}
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generation_config.json
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model-00001-of-00002.safetensors
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model.safetensors.index.json
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1 |
+
{
|
2 |
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"add_bos_token": true,
|
3 |
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4 |
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5 |
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6 |
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7 |
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8 |
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9 |
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|
10 |
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11 |
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|
12 |
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|
13 |
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},
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14 |
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"32001": {
|
15 |
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"content": "÷",
|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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},
|
22 |
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"32002": {
|
23 |
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"content": "Á",
|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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},
|
30 |
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"32003": {
|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
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37 |
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},
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38 |
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"32004": {
|
39 |
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|
40 |
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41 |
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42 |
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|
43 |
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|
44 |
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|
45 |
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},
|
46 |
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"32005": {
|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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|
52 |
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|
53 |
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|
54 |
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55 |
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56 |
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57 |
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58 |
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59 |
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|
60 |
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|
61 |
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62 |
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63 |
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64 |
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65 |
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66 |
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67 |
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68 |
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69 |
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70 |
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71 |
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72 |
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73 |
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74 |
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75 |
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76 |
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|
77 |
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78 |
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79 |
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80 |
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81 |
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82 |
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83 |
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|
84 |
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85 |
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86 |
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87 |
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88 |
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89 |
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90 |
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91 |
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92 |
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93 |
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94 |
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95 |
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96 |
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|
97 |
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98 |
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99 |
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100 |
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101 |
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102 |
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103 |
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104 |
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|
105 |
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106 |
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107 |
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108 |
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|
109 |
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},
|
110 |
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|
111 |
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"content": "<|begin▁of▁sentence|>",
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112 |
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113 |
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114 |
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|
115 |
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|
116 |
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|
117 |
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},
|
118 |
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|
119 |
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|
120 |
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|
121 |
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|
122 |
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|
123 |
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|
124 |
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|
125 |
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},
|
126 |
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|
127 |
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|
128 |
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|
129 |
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|
130 |
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|
131 |
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|
132 |
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|
133 |
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},
|
134 |
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|
135 |
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|
136 |
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|
137 |
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|
138 |
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|
139 |
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|
140 |
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|
141 |
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},
|
142 |
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|
143 |
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|
144 |
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|
145 |
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|
146 |
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|
147 |
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|
148 |
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|
149 |
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|
150 |
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|
151 |
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|
152 |
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|
153 |
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|
154 |
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|
155 |
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|
156 |
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|
157 |
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},
|
158 |
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"32019": {
|
159 |
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|
160 |
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|
161 |
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|
162 |
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|
163 |
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|
164 |
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|
165 |
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},
|
166 |
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|
167 |
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"content": "<|Assistant|>",
|
168 |
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"lstrip": false,
|
169 |
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"normalized": true,
|
170 |
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|
171 |
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"single_word": false,
|
172 |
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"special": false
|
173 |
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},
|
174 |
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"32021": {
|
175 |
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"content": "<|EOT|>",
|
176 |
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|
177 |
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|
178 |
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|
179 |
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|
180 |
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|
181 |
+
}
|
182 |
+
},
|
183 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
184 |
+
"chat_template": "{{ '<|begin▁of▁sentence|>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Please continue to complete the function. You are not allowed to modify the given code and do the completion only. Please return all completed function in a codeblock. Here is the given code to do completion:\n```python\n' + content + '\n' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content + '\n```<|EOT|>' + '\n' }}{% endif %}{% endfor %}",
|
185 |
+
"clean_up_tokenization_spaces": false,
|
186 |
+
"eos_token": "<|EOT|>",
|
187 |
+
"legacy": true,
|
188 |
+
"model_max_length": 16384,
|
189 |
+
"pad_token": "<|end▁of▁sentence|>",
|
190 |
+
"padding_side": "right",
|
191 |
+
"sp_model_kwargs": {},
|
192 |
+
"split_special_tokens": false,
|
193 |
+
"tokenizer_class": "LlamaTokenizer",
|
194 |
+
"unk_token": null,
|
195 |
+
"use_default_system_prompt": false
|
196 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
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1 |
+
{
|
2 |
+
"epoch": 3.9975624619134673,
|
3 |
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"total_flos": 3.38221904554623e+17,
|
4 |
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5 |
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6 |
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|
7 |
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"train_steps_per_second": 0.605
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,329 @@
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|
1 |
+
{"current_steps": 10, "total_steps": 3280, "loss": 0.7319, "learning_rate": 5.05050505050505e-07, "epoch": 0.01218769043266301, "percentage": 0.3, "elapsed_time": "0:00:29", "remaining_time": "2:38:38"}
|
2 |
+
{"current_steps": 20, "total_steps": 3280, "loss": 0.6746, "learning_rate": 1.01010101010101e-06, "epoch": 0.02437538086532602, "percentage": 0.61, "elapsed_time": "0:00:55", "remaining_time": "2:29:37"}
|
3 |
+
{"current_steps": 30, "total_steps": 3280, "loss": 0.722, "learning_rate": 1.5151515151515152e-06, "epoch": 0.03656307129798903, "percentage": 0.91, "elapsed_time": "0:01:21", "remaining_time": "2:26:58"}
|
4 |
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{"current_steps": 40, "total_steps": 3280, "loss": 0.6053, "learning_rate": 2.02020202020202e-06, "epoch": 0.04875076173065204, "percentage": 1.22, "elapsed_time": "0:01:45", "remaining_time": "2:22:44"}
|
5 |
+
{"current_steps": 50, "total_steps": 3280, "loss": 0.467, "learning_rate": 2.5252525252525258e-06, "epoch": 0.06093845216331505, "percentage": 1.52, "elapsed_time": "0:02:08", "remaining_time": "2:17:49"}
|
6 |
+
{"current_steps": 60, "total_steps": 3280, "loss": 0.4346, "learning_rate": 3.0303030303030305e-06, "epoch": 0.07312614259597806, "percentage": 1.83, "elapsed_time": "0:02:28", "remaining_time": "2:12:58"}
|
7 |
+
{"current_steps": 70, "total_steps": 3280, "loss": 0.4145, "learning_rate": 3.5353535353535356e-06, "epoch": 0.08531383302864107, "percentage": 2.13, "elapsed_time": "0:02:47", "remaining_time": "2:08:22"}
|
8 |
+
{"current_steps": 80, "total_steps": 3280, "loss": 0.4062, "learning_rate": 4.04040404040404e-06, "epoch": 0.09750152346130408, "percentage": 2.44, "elapsed_time": "0:03:05", "remaining_time": "2:03:38"}
|
9 |
+
{"current_steps": 90, "total_steps": 3280, "loss": 0.3627, "learning_rate": 4.5454545454545455e-06, "epoch": 0.10968921389396709, "percentage": 2.74, "elapsed_time": "0:03:23", "remaining_time": "2:00:08"}
|
10 |
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{"current_steps": 100, "total_steps": 3280, "loss": 0.3336, "learning_rate": 4.99999878077914e-06, "epoch": 0.1218769043266301, "percentage": 3.05, "elapsed_time": "0:03:42", "remaining_time": "1:58:01"}
|
11 |
+
{"current_steps": 110, "total_steps": 3280, "loss": 0.3489, "learning_rate": 4.9998524757147466e-06, "epoch": 0.1340645947592931, "percentage": 3.35, "elapsed_time": "0:04:02", "remaining_time": "1:56:15"}
|
12 |
+
{"current_steps": 120, "total_steps": 3280, "loss": 0.3617, "learning_rate": 4.999462342829388e-06, "epoch": 0.14625228519195613, "percentage": 3.66, "elapsed_time": "0:04:18", "remaining_time": "1:53:33"}
|
13 |
+
{"current_steps": 130, "total_steps": 3280, "loss": 0.3894, "learning_rate": 4.9988284201754075e-06, "epoch": 0.15843997562461914, "percentage": 3.96, "elapsed_time": "0:04:36", "remaining_time": "1:51:34"}
|
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trainer_state.json
ADDED
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