li-muyang commited on
Commit
5f86114
·
verified ·
1 Parent(s): ac06732

Model save

Browse files
README.md CHANGED
@@ -3,15 +3,12 @@ library_name: transformers
3
  license: apache-2.0
4
  base_model: mistralai/Mistral-7B-v0.1
5
  tags:
6
- - alignment-handbook
7
- - trl
8
- - sft
9
- - generated_from_trainer
10
  - trl
11
  - sft
 
12
  - generated_from_trainer
13
  datasets:
14
- - HuggingFaceH4/ultrachat_200k
15
  model-index:
16
  - name: zephyr-7b-sft-full
17
  results: []
@@ -22,9 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
22
 
23
  # zephyr-7b-sft-full
24
 
25
- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the HuggingFaceH4/ultrachat_200k dataset.
26
- It achieves the following results on the evaluation set:
27
- - Loss: 0.9420
28
 
29
  ## Model description
30
 
@@ -51,21 +46,18 @@ The following hyperparameters were used during training:
51
  - num_devices: 8
52
  - total_train_batch_size: 128
53
  - total_eval_batch_size: 64
54
- - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
55
  - lr_scheduler_type: cosine
56
  - lr_scheduler_warmup_ratio: 0.1
57
  - num_epochs: 1
58
 
59
  ### Training results
60
 
61
- | Training Loss | Epoch | Step | Validation Loss |
62
- |:-------------:|:-----:|:----:|:---------------:|
63
- | 0.9183 | 1.0 | 1084 | 0.9420 |
64
 
65
 
66
  ### Framework versions
67
 
68
- - Transformers 4.47.1
69
  - Pytorch 2.2.2+rocm5.7
70
  - Datasets 3.2.0
71
- - Tokenizers 0.21.0
 
3
  license: apache-2.0
4
  base_model: mistralai/Mistral-7B-v0.1
5
  tags:
 
 
 
 
6
  - trl
7
  - sft
8
+ - alignment-handbook
9
  - generated_from_trainer
10
  datasets:
11
+ - generator
12
  model-index:
13
  - name: zephyr-7b-sft-full
14
  results: []
 
19
 
20
  # zephyr-7b-sft-full
21
 
22
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
 
 
23
 
24
  ## Model description
25
 
 
46
  - num_devices: 8
47
  - total_train_batch_size: 128
48
  - total_eval_batch_size: 64
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
  - lr_scheduler_type: cosine
51
  - lr_scheduler_warmup_ratio: 0.1
52
  - num_epochs: 1
53
 
54
  ### Training results
55
 
 
 
 
56
 
57
 
58
  ### Framework versions
59
 
60
+ - Transformers 4.45.2
61
  - Pytorch 2.2.2+rocm5.7
62
  - Datasets 3.2.0
63
+ - Tokenizers 0.20.3
all_results.json CHANGED
@@ -6,9 +6,9 @@
6
  "eval_samples_per_second": 17.836,
7
  "eval_steps_per_second": 0.279,
8
  "total_flos": 453935093514240.0,
9
- "train_loss": 0.9848188322408613,
10
- "train_runtime": 34384.388,
11
  "train_samples": 207864,
12
- "train_samples_per_second": 4.033,
13
- "train_steps_per_second": 0.032
14
  }
 
6
  "eval_samples_per_second": 17.836,
7
  "eval_steps_per_second": 0.279,
8
  "total_flos": 453935093514240.0,
9
+ "train_loss": 0.0,
10
+ "train_runtime": 0.0102,
11
  "train_samples": 207864,
12
+ "train_samples_per_second": 13581178.092,
13
+ "train_steps_per_second": 106152.682
14
  }
config.json CHANGED
@@ -21,7 +21,7 @@
21
  "sliding_window": 4096,
22
  "tie_word_embeddings": false,
23
  "torch_dtype": "bfloat16",
24
- "transformers_version": "4.47.1",
25
- "use_cache": true,
26
  "vocab_size": 32000
27
  }
 
21
  "sliding_window": 4096,
22
  "tie_word_embeddings": false,
23
  "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.45.2",
25
+ "use_cache": false,
26
  "vocab_size": 32000
27
  }
generation_config.json CHANGED
@@ -2,5 +2,5 @@
2
  "_from_model_config": true,
3
  "bos_token_id": 1,
4
  "eos_token_id": 2,
5
- "transformers_version": "4.47.1"
6
  }
 
2
  "_from_model_config": true,
3
  "bos_token_id": 1,
4
  "eos_token_id": 2,
5
+ "transformers_version": "4.45.2"
6
  }
runs/Jan06_13-29-45_nid002982/events.out.tfevents.1736142626.nid002982.1881012.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ab50543af028bbd682a41ae742d225d04468aaf14b9472d78ea73af8292459a
3
+ size 5872
tokenizer_config.json CHANGED
@@ -33,7 +33,6 @@
33
  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
34
  "clean_up_tokenization_spaces": false,
35
  "eos_token": "</s>",
36
- "extra_special_tokens": {},
37
  "legacy": false,
38
  "model_max_length": 2048,
39
  "pad_token": "</s>",
 
33
  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
34
  "clean_up_tokenization_spaces": false,
35
  "eos_token": "</s>",
 
36
  "legacy": false,
37
  "model_max_length": 2048,
38
  "pad_token": "</s>",
train_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "epoch": 1.0,
3
  "total_flos": 453935093514240.0,
4
- "train_loss": 0.9848188322408613,
5
- "train_runtime": 34384.388,
6
  "train_samples": 207864,
7
- "train_samples_per_second": 4.033,
8
- "train_steps_per_second": 0.032
9
  }
 
1
  {
2
  "epoch": 1.0,
3
  "total_flos": 453935093514240.0,
4
+ "train_loss": 0.0,
5
+ "train_runtime": 0.0102,
6
  "train_samples": 207864,
7
+ "train_samples_per_second": 13581178.092,
8
+ "train_steps_per_second": 106152.682
9
  }
trainer_state.json CHANGED
@@ -1527,22 +1527,14 @@
1527
  "loss": 0.9183,
1528
  "step": 1080
1529
  },
1530
- {
1531
- "epoch": 1.0,
1532
- "eval_loss": 0.9419716000556946,
1533
- "eval_runtime": 896.1794,
1534
- "eval_samples_per_second": 17.128,
1535
- "eval_steps_per_second": 0.268,
1536
- "step": 1084
1537
- },
1538
  {
1539
  "epoch": 1.0,
1540
  "step": 1084,
1541
  "total_flos": 453935093514240.0,
1542
- "train_loss": 0.9848188322408613,
1543
- "train_runtime": 34384.388,
1544
- "train_samples_per_second": 4.033,
1545
- "train_steps_per_second": 0.032
1546
  }
1547
  ],
1548
  "logging_steps": 5,
 
1527
  "loss": 0.9183,
1528
  "step": 1080
1529
  },
 
 
 
 
 
 
 
 
1530
  {
1531
  "epoch": 1.0,
1532
  "step": 1084,
1533
  "total_flos": 453935093514240.0,
1534
+ "train_loss": 0.0,
1535
+ "train_runtime": 0.0102,
1536
+ "train_samples_per_second": 13581178.092,
1537
+ "train_steps_per_second": 106152.682
1538
  }
1539
  ],
1540
  "logging_steps": 5,
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1fb7b163f0f2760ee586d53670c0b581adf6604a94b96f942bb89e81c5d0ea87
3
- size 7160
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:334a53df05940f5e0bacaf2f760dcc46ccd9e16ee2d1e3852cbcffc37806bf1f
3
+ size 7032