1.5
Browse files- README.md +14 -2
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +10 -10
- eval_results.json +5 -5
- experiment.config +25 -0
- model.bin +0 -0
- train_results.json +6 -6
- trainer_log.jsonl +261 -11
- trainer_state.json +1804 -44
- training_args.bin +1 -1
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the Klystroglobal dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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### Framework versions
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the Klystroglobal dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0174
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 35
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0437 | 2.5 | 25 | 0.0340 |
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| 0.0098 | 5.0 | 50 | 0.0166 |
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| 0.0039 | 7.5 | 75 | 0.0165 |
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| 0.0021 | 10.0 | 100 | 0.0174 |
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| 0.0031 | 12.5 | 125 | 0.0145 |
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| 0.0022 | 15.0 | 150 | 0.0235 |
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| 0.0013 | 17.5 | 175 | 0.0187 |
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| 0.0012 | 20.0 | 200 | 0.0246 |
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| 0.0013 | 22.5 | 225 | 0.0264 |
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| 0.0013 | 25.0 | 250 | 0.0277 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"q_proj",
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"k_proj",
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"gate_proj",
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"up_proj",
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"v_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"up_proj",
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"gate_proj",
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"down_proj",
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"v_proj",
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"q_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1556140392
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version https://git-lfs.github.com/spec/v1
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oid sha256:e80bf440e224538c0d7fdaa085ba987418951442628ee238b39a518393c3690b
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size 1556140392
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all_results.json
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{
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"epoch":
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"eval_loss": 0.
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"total_flos":
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"train_loss": 0.
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"train_runtime":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 25.0,
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"eval_loss": 0.017384245991706848,
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"eval_runtime": 7.0041,
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"eval_samples_per_second": 14.277,
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"eval_steps_per_second": 0.428,
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"total_flos": 3.832789293855867e+17,
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"train_loss": 0.011958676076494158,
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"train_runtime": 2822.6775,
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"train_samples_per_second": 5.617,
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"train_steps_per_second": 0.124
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}
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eval_results.json
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{
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"epoch":
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"eval_loss": 0.
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"eval_runtime":
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"eval_steps_per_second": 0.
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}
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{
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"epoch": 25.0,
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"eval_loss": 0.017384245991706848,
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"eval_runtime": 7.0041,
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"eval_samples_per_second": 14.277,
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"eval_steps_per_second": 0.428
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}
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experiment.config
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vision_config {
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vision_api: TEXT_DETECTION
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feature_element: WORD
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word_confidence_threshold: -0.1
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return_raw_response: true
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}
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preprocess_config {
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label_overlap_threshold: 0.4
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num_processes: 4
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rotation_fixer: VISION_BASED_FAST
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}
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train_config {
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num_epochs: 1
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}
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version: "3.0.2"
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field_extraction {
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sub_exp_config {
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model_config {
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architecture {
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nova {
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}
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}
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}
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}
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}
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model.bin
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train_results.json
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{
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"epoch":
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 25.0,
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"total_flos": 3.832789293855867e+17,
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"train_loss": 0.011958676076494158,
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"train_runtime": 2822.6775,
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"train_samples_per_second": 5.617,
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"train_steps_per_second": 0.124
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}
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trainer_log.jsonl
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{"current_steps": 1, "total_steps":
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{"current_steps": 2, "total_steps":
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{"current_steps": 3, "total_steps":
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{"current_steps": 4, "total_steps":
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{"current_steps": 5, "total_steps":
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{"current_steps": 6, "total_steps":
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{"current_steps": 7, "total_steps":
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{"current_steps": 8, "total_steps":
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{"current_steps": 9, "total_steps":
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{"current_steps": 10, "total_steps":
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{"current_steps":
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{"current_steps": 1, "total_steps": 350, "loss": 0.1531, "lr": 2.8571428571428573e-06, "epoch": 0.1, "percentage": 0.29, "elapsed_time": "0:00:27", "remaining_time": "2:38:08"}
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{"current_steps": 2, "total_steps": 350, "loss": 0.1308, "lr": 5.7142857142857145e-06, "epoch": 0.2, "percentage": 0.57, "elapsed_time": "0:00:45", "remaining_time": "2:11:52"}
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{"current_steps": 3, "total_steps": 350, "loss": 0.1619, "lr": 8.571428571428573e-06, "epoch": 0.3, "percentage": 0.86, "elapsed_time": "0:01:04", "remaining_time": "2:04:36"}
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{"current_steps": 4, "total_steps": 350, "loss": 0.1325, "lr": 1.1428571428571429e-05, "epoch": 0.4, "percentage": 1.14, "elapsed_time": "0:01:17", "remaining_time": "1:51:35"}
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{"current_steps": 5, "total_steps": 350, "loss": 0.1206, "lr": 1.4285714285714285e-05, "epoch": 0.5, "percentage": 1.43, "elapsed_time": "0:01:27", "remaining_time": "1:40:58"}
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{"current_steps": 6, "total_steps": 350, "loss": 0.0875, "lr": 1.7142857142857145e-05, "epoch": 0.6, "percentage": 1.71, "elapsed_time": "0:01:38", "remaining_time": "1:33:50"}
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{"current_steps": 7, "total_steps": 350, "loss": 0.1067, "lr": 2e-05, "epoch": 0.7, "percentage": 2.0, "elapsed_time": "0:02:04", "remaining_time": "1:41:17"}
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{"current_steps": 8, "total_steps": 350, "loss": 0.0966, "lr": 2.2857142857142858e-05, "epoch": 0.8, "percentage": 2.29, "elapsed_time": "0:02:14", "remaining_time": "1:35:49"}
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{"current_steps": 9, "total_steps": 350, "loss": 0.1088, "lr": 2.5714285714285714e-05, "epoch": 0.9, "percentage": 2.57, "elapsed_time": "0:02:24", "remaining_time": "1:31:24"}
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{"current_steps": 10, "total_steps": 350, "loss": 0.0839, "lr": 2.857142857142857e-05, "epoch": 1.0, "percentage": 2.86, "elapsed_time": "0:02:37", "remaining_time": "1:29:20"}
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{"current_steps": 11, "total_steps": 350, "loss": 0.0713, "lr": 3.142857142857143e-05, "epoch": 1.1, "percentage": 3.14, "elapsed_time": "0:02:50", "remaining_time": "1:27:31"}
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{"current_steps": 12, "total_steps": 350, "loss": 0.0688, "lr": 3.428571428571429e-05, "epoch": 1.2, "percentage": 3.43, "elapsed_time": "0:03:00", "remaining_time": "1:24:44"}
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{"current_steps": 13, "total_steps": 350, "loss": 0.0688, "lr": 3.7142857142857143e-05, "epoch": 1.3, "percentage": 3.71, "elapsed_time": "0:03:12", "remaining_time": "1:23:01"}
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{"current_steps": 14, "total_steps": 350, "loss": 0.0668, "lr": 4e-05, "epoch": 1.4, "percentage": 4.0, "elapsed_time": "0:03:26", "remaining_time": "1:22:39"}
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{"current_steps": 15, "total_steps": 350, "loss": 0.0613, "lr": 4.2857142857142856e-05, "epoch": 1.5, "percentage": 4.29, "elapsed_time": "0:03:40", "remaining_time": "1:22:10"}
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{"current_steps": 16, "total_steps": 350, "loss": 0.052, "lr": 4.5714285714285716e-05, "epoch": 1.6, "percentage": 4.57, "elapsed_time": "0:03:53", "remaining_time": "1:21:24"}
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{"current_steps": 17, "total_steps": 350, "loss": 0.0581, "lr": 4.8571428571428576e-05, "epoch": 1.7, "percentage": 4.86, "elapsed_time": "0:04:07", "remaining_time": "1:20:46"}
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| 89 |
}
|
| 90 |
],
|
| 91 |
"logging_steps": 1,
|
| 92 |
-
"max_steps":
|
| 93 |
"num_input_tokens_seen": 0,
|
| 94 |
-
"num_train_epochs":
|
| 95 |
"save_steps": 100,
|
| 96 |
"stateful_callbacks": {
|
| 97 |
"EarlyStoppingCallback": {
|
|
@@ -100,7 +1860,7 @@
|
|
| 100 |
"early_stopping_threshold": 0.0
|
| 101 |
},
|
| 102 |
"attributes": {
|
| 103 |
-
"early_stopping_patience_counter":
|
| 104 |
}
|
| 105 |
},
|
| 106 |
"TrainerControl": {
|
|
@@ -109,12 +1869,12 @@
|
|
| 109 |
"should_evaluate": false,
|
| 110 |
"should_log": false,
|
| 111 |
"should_save": true,
|
| 112 |
-
"should_training_stop":
|
| 113 |
},
|
| 114 |
"attributes": {}
|
| 115 |
}
|
| 116 |
},
|
| 117 |
-
"total_flos":
|
| 118 |
"train_batch_size": 48,
|
| 119 |
"trial_name": null,
|
| 120 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
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|
| 3 |
+
"best_model_checkpoint": "/home/paperspace/Data/models/Klystroglobal/llm3br256-v1.5/checkpoint-100",
|
| 4 |
+
"epoch": 25.0,
|
| 5 |
"eval_steps": 25,
|
| 6 |
+
"global_step": 250,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.1,
|
| 13 |
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"grad_norm": 1.2220871448516846,
|
| 14 |
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"learning_rate": 2.8571428571428573e-06,
|
| 15 |
"loss": 0.1531,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.2,
|
| 20 |
+
"grad_norm": 1.2097222805023193,
|
| 21 |
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"learning_rate": 5.7142857142857145e-06,
|
| 22 |
"loss": 0.1308,
|
| 23 |
"step": 2
|
| 24 |
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|
| 25 |
{
|
| 26 |
"epoch": 0.3,
|
| 27 |
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"grad_norm": 1.2176955938339233,
|
| 28 |
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"learning_rate": 8.571428571428573e-06,
|
| 29 |
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"loss": 0.1619,
|
| 30 |
"step": 3
|
| 31 |
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|
| 32 |
{
|
| 33 |
"epoch": 0.4,
|
| 34 |
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"grad_norm": 0.7081905007362366,
|
| 35 |
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"learning_rate": 1.1428571428571429e-05,
|
| 36 |
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"loss": 0.1325,
|
| 37 |
"step": 4
|
| 38 |
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|
| 39 |
{
|
| 40 |
"epoch": 0.5,
|
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