Upload folder using huggingface_hub
Browse files- 15_128_e3_3e-5/README.md +63 -0
- 15_128_e3_3e-5/adapter_config.json +39 -0
- 15_128_e3_3e-5/adapter_model.safetensors +3 -0
- 15_128_e3_3e-5/all_results.json +9 -0
- 15_128_e3_3e-5/config.json +32 -0
- 15_128_e3_3e-5/merges.txt +0 -0
- 15_128_e3_3e-5/special_tokens_map.json +45 -0
- 15_128_e3_3e-5/tokenizer.json +0 -0
- 15_128_e3_3e-5/tokenizer_config.json +188 -0
- 15_128_e3_3e-5/train_results.json +9 -0
- 15_128_e3_3e-5/trainer_state.json +1604 -0
- 15_128_e3_3e-5/training_args.bin +3 -0
- 15_128_e3_3e-5/vocab.json +0 -0
15_128_e3_3e-5/README.md
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---
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+
library_name: peft
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license: apache-2.0
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base_model: ibm-granite/granite-3.3-8b-base
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- data/knowledge_lora_training_data_2000
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model-index:
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- name: 15_128_e3_3e-5
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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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# 15_128_e3_3e-5
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This model is a fine-tuned version of [ibm-granite/granite-3.3-8b-base](https://huggingface.co/ibm-granite/granite-3.3-8b-base) on the data/knowledge_lora_training_data_2000 dataset.
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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: 3e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- total_eval_batch_size: 64
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- optimizer: Use adamw_torch with betas=(0.9,0.95) 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: 0.05
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- PEFT 0.15.2
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- Transformers 4.52.4
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- Pytorch 2.7.0+cu126
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| 62 |
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- Datasets 3.6.0
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| 63 |
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- Tokenizers 0.21.2
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15_128_e3_3e-5/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "ibm-granite/granite-3.3-8b-base",
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| 5 |
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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| 8 |
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"exclude_modules": null,
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| 9 |
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"fan_in_fan_out": false,
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| 10 |
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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| 13 |
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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| 16 |
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"lora_alpha": 256,
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| 17 |
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"lora_bias": false,
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| 18 |
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"lora_dropout": 0.05,
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| 19 |
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"megatron_config": null,
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| 20 |
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"megatron_core": "megatron.core",
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| 21 |
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"modules_to_save": null,
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| 22 |
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"peft_type": "LORA",
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| 23 |
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"r": 128,
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| 24 |
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"rank_pattern": {},
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| 25 |
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"revision": null,
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| 26 |
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"target_modules": [
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"o_proj",
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| 28 |
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"up_proj",
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| 29 |
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"q_proj",
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| 30 |
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"v_proj",
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| 31 |
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"k_proj",
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| 32 |
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"gate_proj",
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| 33 |
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"down_proj"
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| 34 |
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],
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| 35 |
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"task_type": "CAUSAL_LM",
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| 36 |
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"trainable_token_indices": null,
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| 37 |
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"use_dora": false,
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| 38 |
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"use_rslora": false
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}
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15_128_e3_3e-5/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2152da1b09ed2cdd41ea9adf07c6c32f1c1eb9c524e46d1d4a4297da706508d
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| 3 |
+
size 791751704
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15_128_e3_3e-5/all_results.json
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{
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"epoch": 3.0,
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| 3 |
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"total_flos": 1.489123253103362e+18,
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| 4 |
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"train_loss": 0.5669498731239871,
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| 5 |
+
"train_runtime": 689.3067,
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| 6 |
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"train_samples": 11907,
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| 7 |
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"train_samples_per_second": 51.822,
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| 8 |
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"train_steps_per_second": 1.623
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}
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15_128_e3_3e-5/config.json
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{
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"architectures": [
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| 3 |
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"GraniteForCausalLM"
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| 4 |
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],
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| 5 |
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"attention_bias": false,
|
| 6 |
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"attention_dropout": 0,
|
| 7 |
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"attention_multiplier": 0.0078125,
|
| 8 |
+
"bos_token_id": 0,
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| 9 |
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"embedding_multiplier": 12.0,
|
| 10 |
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"eos_token_id": 0,
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| 11 |
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"hidden_act": "silu",
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| 12 |
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"hidden_size": 4096,
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| 13 |
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"initializer_range": 0.02,
|
| 14 |
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"intermediate_size": 12800,
|
| 15 |
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"logits_scaling": 16.0,
|
| 16 |
+
"max_position_embeddings": 131072,
|
| 17 |
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"mlp_bias": false,
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| 18 |
+
"model_type": "granite",
|
| 19 |
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"num_attention_heads": 32,
|
| 20 |
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"num_hidden_layers": 40,
|
| 21 |
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"num_key_value_heads": 8,
|
| 22 |
+
"pad_token_id": 0,
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| 23 |
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"residual_multiplier": 0.22,
|
| 24 |
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"rms_norm_eps": 1e-05,
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| 25 |
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"rope_scaling": null,
|
| 26 |
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"rope_theta": 10000000.0,
|
| 27 |
+
"tie_word_embeddings": true,
|
| 28 |
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"torch_dtype": "bfloat16",
|
| 29 |
+
"transformers_version": "4.52.4",
|
| 30 |
+
"use_cache": true,
|
| 31 |
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"vocab_size": 49152
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| 32 |
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}
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15_128_e3_3e-5/merges.txt
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15_128_e3_3e-5/special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|endoftext|>",
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| 4 |
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"<fim_prefix>",
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| 5 |
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"<fim_middle>",
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| 6 |
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"<fim_suffix>",
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| 7 |
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"<fim_pad>",
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| 8 |
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"<filename>",
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| 9 |
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"<gh_stars>",
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| 10 |
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"<issue_start>",
|
| 11 |
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"<issue_comment>",
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| 12 |
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"<issue_closed>",
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| 13 |
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"<jupyter_start>",
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| 14 |
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"<jupyter_text>",
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| 15 |
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| 16 |
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"<jupyter_output>",
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| 17 |
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"<empty_output>",
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"<commit_before>",
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"<commit_msg>",
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| 20 |
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"<commit_after>",
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| 21 |
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"<reponame>"
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| 22 |
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],
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| 23 |
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"bos_token": {
|
| 24 |
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"content": "<|endoftext|>",
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| 25 |
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"lstrip": false,
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| 26 |
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"normalized": false,
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| 27 |
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"rstrip": false,
|
| 28 |
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"single_word": false
|
| 29 |
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},
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| 30 |
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"eos_token": {
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| 31 |
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"content": "<|endoftext|>",
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| 32 |
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"lstrip": false,
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| 33 |
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"normalized": false,
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| 34 |
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"rstrip": false,
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| 35 |
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"single_word": false
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| 36 |
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},
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| 37 |
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"pad_token": "<reponame>",
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| 38 |
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"unk_token": {
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| 39 |
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"content": "<|endoftext|>",
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| 40 |
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"lstrip": false,
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| 41 |
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"normalized": false,
|
| 42 |
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"rstrip": false,
|
| 43 |
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"single_word": false
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| 44 |
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}
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| 45 |
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}
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15_128_e3_3e-5/tokenizer.json
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15_128_e3_3e-5/tokenizer_config.json
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{
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"add_prefix_space": false,
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| 3 |
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"added_tokens_decoder": {
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| 4 |
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"0": {
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| 5 |
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"content": "<|endoftext|>",
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
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"1": {
|
| 13 |
+
"content": "<fim_prefix>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
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|
| 16 |
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"rstrip": false,
|
| 17 |
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"single_word": false,
|
| 18 |
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"special": true
|
| 19 |
+
},
|
| 20 |
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"2": {
|
| 21 |
+
"content": "<fim_middle>",
|
| 22 |
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"lstrip": false,
|
| 23 |
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"normalized": false,
|
| 24 |
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|
| 25 |
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"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
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"3": {
|
| 29 |
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"content": "<fim_suffix>",
|
| 30 |
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"lstrip": false,
|
| 31 |
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"normalized": false,
|
| 32 |
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"rstrip": false,
|
| 33 |
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"single_word": false,
|
| 34 |
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"special": true
|
| 35 |
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},
|
| 36 |
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"4": {
|
| 37 |
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"content": "<fim_pad>",
|
| 38 |
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"lstrip": false,
|
| 39 |
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"normalized": false,
|
| 40 |
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"rstrip": false,
|
| 41 |
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"single_word": false,
|
| 42 |
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"special": true
|
| 43 |
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},
|
| 44 |
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"5": {
|
| 45 |
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"content": "<filename>",
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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"special": true
|
| 51 |
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},
|
| 52 |
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"6": {
|
| 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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"7": {
|
| 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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"8": {
|
| 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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"special": true
|
| 75 |
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},
|
| 76 |
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"9": {
|
| 77 |
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|
| 78 |
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"lstrip": false,
|
| 79 |
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"normalized": false,
|
| 80 |
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|
| 81 |
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"single_word": false,
|
| 82 |
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"special": true
|
| 83 |
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},
|
| 84 |
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"10": {
|
| 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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"11": {
|
| 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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"special": true
|
| 99 |
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|
| 100 |
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"12": {
|
| 101 |
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"content": "<jupyter_code>",
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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"single_word": false,
|
| 106 |
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"special": true
|
| 107 |
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},
|
| 108 |
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"13": {
|
| 109 |
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"content": "<jupyter_output>",
|
| 110 |
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"lstrip": false,
|
| 111 |
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"normalized": false,
|
| 112 |
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"rstrip": false,
|
| 113 |
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"single_word": false,
|
| 114 |
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"special": true
|
| 115 |
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},
|
| 116 |
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"14": {
|
| 117 |
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"content": "<empty_output>",
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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"single_word": false,
|
| 122 |
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"special": true
|
| 123 |
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},
|
| 124 |
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"15": {
|
| 125 |
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|
| 126 |
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"lstrip": false,
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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"special": true
|
| 131 |
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},
|
| 132 |
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"16": {
|
| 133 |
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"content": "<commit_msg>",
|
| 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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"special": true
|
| 139 |
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},
|
| 140 |
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"17": {
|
| 141 |
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"content": "<commit_after>",
|
| 142 |
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"lstrip": false,
|
| 143 |
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"normalized": false,
|
| 144 |
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|
| 145 |
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"single_word": false,
|
| 146 |
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"special": true
|
| 147 |
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},
|
| 148 |
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"18": {
|
| 149 |
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"content": "<reponame>",
|
| 150 |
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"lstrip": false,
|
| 151 |
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"normalized": false,
|
| 152 |
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|
| 153 |
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"single_word": false,
|
| 154 |
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"special": true
|
| 155 |
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}
|
| 156 |
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},
|
| 157 |
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"additional_special_tokens": [
|
| 158 |
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"<|endoftext|>",
|
| 159 |
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"<fim_prefix>",
|
| 160 |
+
"<fim_middle>",
|
| 161 |
+
"<fim_suffix>",
|
| 162 |
+
"<fim_pad>",
|
| 163 |
+
"<filename>",
|
| 164 |
+
"<gh_stars>",
|
| 165 |
+
"<issue_start>",
|
| 166 |
+
"<issue_comment>",
|
| 167 |
+
"<issue_closed>",
|
| 168 |
+
"<jupyter_start>",
|
| 169 |
+
"<jupyter_text>",
|
| 170 |
+
"<jupyter_code>",
|
| 171 |
+
"<jupyter_output>",
|
| 172 |
+
"<empty_output>",
|
| 173 |
+
"<commit_before>",
|
| 174 |
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"<commit_msg>",
|
| 175 |
+
"<commit_after>",
|
| 176 |
+
"<reponame>"
|
| 177 |
+
],
|
| 178 |
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"bos_token": "<|endoftext|>",
|
| 179 |
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"clean_up_tokenization_spaces": true,
|
| 180 |
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"eos_token": "<|endoftext|>",
|
| 181 |
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"extra_special_tokens": {},
|
| 182 |
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"model_max_length": 8192,
|
| 183 |
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"pad_token": "<reponame>",
|
| 184 |
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"padding_side": "left",
|
| 185 |
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"tokenizer_class": "GPT2Tokenizer",
|
| 186 |
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"unk_token": "<|endoftext|>",
|
| 187 |
+
"vocab_size": 49152
|
| 188 |
+
}
|
15_128_e3_3e-5/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
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|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 1.489123253103362e+18,
|
| 4 |
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"train_loss": 0.5669498731239871,
|
| 5 |
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"train_runtime": 689.3067,
|
| 6 |
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"train_samples": 11907,
|
| 7 |
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"train_samples_per_second": 51.822,
|
| 8 |
+
"train_steps_per_second": 1.623
|
| 9 |
+
}
|
15_128_e3_3e-5/trainer_state.json
ADDED
|
@@ -0,0 +1,1604 @@
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