Model save
Browse files- .gitattributes +1 -0
- README.md +69 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- all_results.json +8 -0
- runs/Apr26_10-12-14_COE-CS-sv003/events.out.tfevents.1714126416.COE-CS-sv003.480309.0 +3 -0
- special_tokens_map.json +28 -0
- tokenizer.json +3 -0
- tokenizer_config.json +70 -0
- train_results.json +8 -0
- trainer_state.json +2791 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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| 1 |
+
---
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| 2 |
+
license: gemma
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| 3 |
+
library_name: peft
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| 4 |
+
tags:
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| 5 |
+
- trl
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| 6 |
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- sft
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| 7 |
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- generated_from_trainer
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| 8 |
+
base_model: google/gemma-7b
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| 9 |
+
model-index:
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| 10 |
+
- name: zephyr-7b-gemma-sft-5p-2048
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| 11 |
+
results: []
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| 12 |
+
---
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| 13 |
+
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| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 15 |
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should probably proofread and complete it, then remove this comment. -->
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| 16 |
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| 17 |
+
# zephyr-7b-gemma-sft-5p-2048
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| 18 |
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| 19 |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the None dataset.
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| 20 |
+
It achieves the following results on the evaluation set:
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| 21 |
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- Loss: 1.1822
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| 22 |
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| 23 |
+
## Model description
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| 24 |
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More information needed
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| 26 |
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## Intended uses & limitations
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More information needed
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| 30 |
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## Training and evaluation data
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| 32 |
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More information needed
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| 34 |
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## Training procedure
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| 36 |
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### Training hyperparameters
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| 38 |
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The following hyperparameters were used during training:
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| 40 |
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- learning_rate: 0.0002
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| 41 |
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- train_batch_size: 4
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| 42 |
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- eval_batch_size: 4
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| 43 |
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- seed: 42
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| 44 |
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- distributed_type: multi-GPU
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| 45 |
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- num_devices: 4
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| 46 |
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- gradient_accumulation_steps: 2
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| 47 |
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- total_train_batch_size: 32
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| 48 |
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- total_eval_batch_size: 16
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| 49 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 50 |
+
- lr_scheduler_type: cosine
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| 51 |
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- lr_scheduler_warmup_ratio: 0.1
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| 52 |
+
- num_epochs: 3
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| 53 |
+
|
| 54 |
+
### Training results
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| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss |
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| 57 |
+
|:-------------:|:-----:|:----:|:---------------:|
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| 58 |
+
| 0.9062 | 1.0 | 651 | 1.2442 |
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| 59 |
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| 0.907 | 2.0 | 1303 | 1.1708 |
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| 60 |
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| 0.8209 | 3.0 | 1953 | 1.1822 |
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| 61 |
+
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| 62 |
+
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| 63 |
+
### Framework versions
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| 64 |
+
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| 65 |
+
- PEFT 0.7.1
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| 66 |
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- Transformers 4.39.0.dev0
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| 67 |
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- Pytorch 2.1.2
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| 68 |
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- Datasets 2.14.6
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| 69 |
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- Tokenizers 0.15.2
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adapter_config.json
ADDED
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{
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| 2 |
+
"alpha_pattern": {},
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| 3 |
+
"auto_mapping": null,
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| 4 |
+
"base_model_name_or_path": "google/gemma-7b",
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| 5 |
+
"bias": "none",
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| 6 |
+
"fan_in_fan_out": false,
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| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
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| 10 |
+
"layers_to_transform": null,
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| 11 |
+
"loftq_config": {},
|
| 12 |
+
"lora_alpha": 8,
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| 13 |
+
"lora_dropout": 0.05,
|
| 14 |
+
"megatron_config": null,
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| 15 |
+
"megatron_core": "megatron.core",
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| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
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| 18 |
+
"r": 6,
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| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
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| 22 |
+
"o_proj",
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| 23 |
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"q_proj",
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| 24 |
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"gate_proj",
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| 25 |
+
"up_proj",
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| 26 |
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"v_proj",
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| 27 |
+
"down_proj",
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| 28 |
+
"k_proj"
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| 29 |
+
],
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| 30 |
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"task_type": "CAUSAL_LM"
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| 31 |
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}
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adapter_model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2b089dac39d843b1ff4c1788a5cf2494adbc0a1c5f554b886906cd9d48aa612
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| 3 |
+
size 37555048
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all_results.json
ADDED
|
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| 1 |
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{
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| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 1.1336081770219621,
|
| 4 |
+
"train_runtime": 21652.8936,
|
| 5 |
+
"train_samples": 20842,
|
| 6 |
+
"train_samples_per_second": 2.888,
|
| 7 |
+
"train_steps_per_second": 0.09
|
| 8 |
+
}
|
runs/Apr26_10-12-14_COE-CS-sv003/events.out.tfevents.1714126416.COE-CS-sv003.480309.0
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:39c4df3285df824e39695aeb563c785b14a88c9a4f0eaad634c78e2a75accd96
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| 3 |
+
size 88370
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special_tokens_map.json
ADDED
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{
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| 2 |
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"additional_special_tokens": [
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| 3 |
+
{
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| 4 |
+
"content": "<|im_start|>",
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| 5 |
+
"lstrip": false,
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| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
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| 10 |
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{
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| 11 |
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"content": "<|im_end|>",
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| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
}
|
| 17 |
+
],
|
| 18 |
+
"bos_token": "<|im_start|>",
|
| 19 |
+
"eos_token": "<|im_end|>",
|
| 20 |
+
"pad_token": "<|im_end|>",
|
| 21 |
+
"unk_token": {
|
| 22 |
+
"content": "<unk>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false
|
| 27 |
+
}
|
| 28 |
+
}
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tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:299f8e59a5c4a3b3941dbe1159a7079d69c7a8d5ca34322ace1be9140ae76cc0
|
| 3 |
+
size 17477572
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tokenizer_config.json
ADDED
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@@ -0,0 +1,70 @@
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| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<pad>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<eos>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "<bos>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"3": {
|
| 30 |
+
"content": "<unk>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"106": {
|
| 38 |
+
"content": "<|im_start|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"107": {
|
| 46 |
+
"content": "<|im_end|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
}
|
| 53 |
+
},
|
| 54 |
+
"additional_special_tokens": [
|
| 55 |
+
"<|im_start|>",
|
| 56 |
+
"<|im_end|>"
|
| 57 |
+
],
|
| 58 |
+
"bos_token": "<|im_start|>",
|
| 59 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 60 |
+
"clean_up_tokenization_spaces": false,
|
| 61 |
+
"eos_token": "<|im_end|>",
|
| 62 |
+
"legacy": null,
|
| 63 |
+
"model_max_length": 2048,
|
| 64 |
+
"pad_token": "<|im_end|>",
|
| 65 |
+
"sp_model_kwargs": {},
|
| 66 |
+
"spaces_between_special_tokens": false,
|
| 67 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 68 |
+
"unk_token": "<unk>",
|
| 69 |
+
"use_default_system_prompt": false
|
| 70 |
+
}
|
train_results.json
ADDED
|
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| 1 |
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{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 1.1336081770219621,
|
| 4 |
+
"train_runtime": 21652.8936,
|
| 5 |
+
"train_samples": 20842,
|
| 6 |
+
"train_samples_per_second": 2.888,
|
| 7 |
+
"train_steps_per_second": 0.09
|
| 8 |
+
}
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trainer_state.json
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|
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.997697620874904,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1953,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
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training_args.bin
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