End of training

README.md

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+---
+library_name: peft
+base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 45136a6c-cbf9-4e9a-bae3-4d20a42cf98a
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: qlora
+auto_resume_from_checkpoints: true
+base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+dataset_processes: 6
+datasets:
+- data_files:
+  - cb98dc95479f5003_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/cb98dc95479f5003_train_data.json
+  type:
+    field_input: examples
+    field_instruction: func_desc
+    field_output: answers
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 200
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: false
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: error577/45136a6c-cbf9-4e9a-bae3-4d20a42cf98a
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 64
+lora_dropout: 0.1
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: null
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/cb98dc95479f5003_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 200
+sequence_len: 256
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.005
+wandb_entity: null
+wandb_mode: online
+wandb_name: 8f653c4e-a627-4fd2-a4e3-e603285e2746
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 8f653c4e-a627-4fd2-a4e3-e603285e2746
+warmup_steps: 30
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 45136a6c-cbf9-4e9a-bae3-4d20a42cf98a
+
+This model is a fine-tuned version of [HuggingFaceH4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceH4/tiny-random-LlamaForCausalLM) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.2075
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 30
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 10.3775       | 0.0002 | 1     | 10.3784         |
+| 10.2507       | 0.0410 | 200   | 10.2565         |
+| 10.2611       | 0.0820 | 400   | 10.2411         |
+| 10.2232       | 0.1230 | 600   | 10.2367         |
+| 10.229        | 0.1640 | 800   | 10.2354         |
+| 10.2466       | 0.2050 | 1000  | 10.2340         |
+| 10.2452       | 0.2460 | 1200  | 10.2332         |
+| 10.2527       | 0.2869 | 1400  | 10.2324         |
+| 10.2587       | 0.3279 | 1600  | 10.2315         |
+| 10.2348       | 0.3689 | 1800  | 10.2305         |
+| 10.2329       | 0.4099 | 2000  | 10.2305         |
+| 10.2712       | 0.4509 | 2200  | 10.2290         |
+| 10.2306       | 0.4919 | 2400  | 10.2289         |
+| 10.2228       | 0.5329 | 2600  | 10.2282         |
+| 10.247        | 0.5739 | 2800  | 10.2269         |
+| 10.2515       | 0.6149 | 3000  | 10.2261         |
+| 10.2538       | 0.6559 | 3200  | 10.2235         |
+| 10.2348       | 0.6969 | 3400  | 10.2228         |
+| 10.2189       | 0.7379 | 3600  | 10.2221         |
+| 10.2319       | 0.7788 | 3800  | 10.2213         |
+| 10.2411       | 0.8198 | 4000  | 10.2212         |
+| 10.2241       | 0.8608 | 4200  | 10.2201         |
+| 10.2202       | 0.9018 | 4400  | 10.2201         |
+| 10.2133       | 0.9428 | 4600  | 10.2187         |
+| 10.2159       | 0.9838 | 4800  | 10.2178         |
+| 10.2526       | 1.0248 | 5000  | 10.2178         |
+| 10.2553       | 1.0658 | 5200  | 10.2166         |
+| 10.2518       | 1.1068 | 5400  | 10.2166         |
+| 10.2232       | 1.1478 | 5600  | 10.2154         |
+| 10.235        | 1.1888 | 5800  | 10.2155         |
+| 10.2182       | 1.2298 | 6000  | 10.2153         |
+| 10.2172       | 1.2708 | 6200  | 10.2140         |
+| 10.2457       | 1.3117 | 6400  | 10.2141         |
+| 10.22         | 1.3527 | 6600  | 10.2137         |
+| 10.1982       | 1.3937 | 6800  | 10.2133         |
+| 10.2164       | 1.4347 | 7000  | 10.2130         |
+| 10.2155       | 1.4757 | 7200  | 10.2124         |
+| 10.2297       | 1.5167 | 7400  | 10.2122         |
+| 10.2266       | 1.5577 | 7600  | 10.2120         |
+| 10.219        | 1.5987 | 7800  | 10.2114         |
+| 10.2012       | 1.6397 | 8000  | 10.2111         |
+| 10.2168       | 1.6807 | 8200  | 10.2112         |
+| 10.2242       | 1.7217 | 8400  | 10.2102         |
+| 10.235        | 1.7627 | 8600  | 10.2098         |
+| 10.2152       | 1.8036 | 8800  | 10.2100         |
+| 10.2108       | 1.8446 | 9000  | 10.2096         |
+| 10.2          | 1.8856 | 9200  | 10.2092         |
+| 10.2383       | 1.9266 | 9400  | 10.2094         |
+| 10.2098       | 1.9676 | 9600  | 10.2088         |
+| 10.2123       | 2.0086 | 9800  | 10.2088         |
+| 10.213        | 2.0496 | 10000 | 10.2086         |
+| 10.2125       | 2.0906 | 10200 | 10.2083         |
+| 10.25         | 2.1316 | 10400 | 10.2080         |
+| 10.2299       | 2.1726 | 10600 | 10.2079         |
+| 10.2084       | 2.2136 | 10800 | 10.2080         |
+| 10.2173       | 2.2546 | 11000 | 10.2075         |
+| 10.2129       | 2.2956 | 11200 | 10.2074         |
+| 10.2025       | 2.3365 | 11400 | 10.2075         |
+| 10.2235       | 2.3775 | 11600 | 10.2077         |
+| 10.248        | 2.4185 | 11800 | 10.2075         |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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