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End of training

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  1. README.md +20 -17
README.md CHANGED
@@ -1,13 +1,14 @@
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  ---
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  library_name: peft
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- base_model: katuni4ka/tiny-random-dbrx
 
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  tags:
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  - axolotl
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  - generated_from_trainer
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  datasets:
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- - Paladiso/dataset_91d2e9f8-99da-4b30-8acb-ee8b1520d1bc
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  model-index:
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- - name: b6b31df9-7c59-4ee2-8a19-e3cd1fd58249
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  results: []
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  ---
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@@ -20,18 +21,18 @@ should probably proofread and complete it, then remove this comment. -->
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  axolotl version: `0.6.0`
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  ```yaml
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  adapter: lora
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- base_model: katuni4ka/tiny-random-dbrx
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  bf16: auto
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  chat_template: llama3
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  dataset_prepared_path: /workspace/axolotl/data/prepared
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  datasets:
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  - ds_type: json
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  format: custom
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- path: Paladiso/dataset_91d2e9f8-99da-4b30-8acb-ee8b1520d1bc
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  type:
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- field_input: context
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- field_instruction: instruction
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- field_output: response
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  system_format: '{system}'
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  system_prompt: ''
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  debug: null
@@ -47,7 +48,7 @@ fsdp_config: null
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  gradient_accumulation_steps: 4
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  gradient_checkpointing: false
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  group_by_length: false
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- hub_model_id: Paladiso/b6b31df9-7c59-4ee2-8a19-e3cd1fd58249
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -78,6 +79,8 @@ sample_packing: false
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  save_safetensors: true
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  saves_per_epoch: 4
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  sequence_len: 512
 
 
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
@@ -87,10 +90,10 @@ use_accelerate: true
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  val_set_size: 0.05
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  wandb_entity: null
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  wandb_mode: online
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- wandb_name: 91d2e9f8-99da-4b30-8acb-ee8b1520d1bc
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 91d2e9f8-99da-4b30-8acb-ee8b1520d1bc
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -99,11 +102,11 @@ xformers_attention: null
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  </details><br>
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- # b6b31df9-7c59-4ee2-8a19-e3cd1fd58249
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- This model is a fine-tuned version of [katuni4ka/tiny-random-dbrx](https://huggingface.co/katuni4ka/tiny-random-dbrx) on the Paladiso/dataset_91d2e9f8-99da-4b30-8acb-ee8b1520d1bc dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 11.5
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  ## Model description
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@@ -137,9 +140,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 46.0 | 0.0001 | 3 | 11.5 |
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- | 46.0 | 0.0002 | 6 | 11.5 |
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- | 46.0 | 0.0003 | 9 | 11.5 |
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  ### Framework versions
 
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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: openlm-research/open_llama_3b
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  tags:
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  - axolotl
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  - generated_from_trainer
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  datasets:
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+ - Paladiso/dataset_b98c9df0-5280-40e9-9125-37aafc6279e9
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  model-index:
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+ - name: 369db93c-b0b2-4862-895e-e55b2f44da91
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  results: []
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  ---
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  axolotl version: `0.6.0`
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  ```yaml
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  adapter: lora
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+ base_model: openlm-research/open_llama_3b
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  bf16: auto
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  chat_template: llama3
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  dataset_prepared_path: /workspace/axolotl/data/prepared
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  datasets:
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  - ds_type: json
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  format: custom
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+ path: Paladiso/dataset_b98c9df0-5280-40e9-9125-37aafc6279e9
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  type:
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+ field_input: sentence1
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+ field_instruction: genre
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+ field_output: sentence2
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  system_format: '{system}'
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  system_prompt: ''
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  debug: null
 
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  gradient_accumulation_steps: 4
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  gradient_checkpointing: false
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  group_by_length: false
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+ hub_model_id: Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
 
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  save_safetensors: true
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  saves_per_epoch: 4
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  sequence_len: 512
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+ special_tokens:
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+ pad_token: </s>
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
 
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  val_set_size: 0.05
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  wandb_entity: null
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  wandb_mode: online
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+ wandb_name: b98c9df0-5280-40e9-9125-37aafc6279e9
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: b98c9df0-5280-40e9-9125-37aafc6279e9
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
 
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  </details><br>
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+ # 369db93c-b0b2-4862-895e-e55b2f44da91
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+ This model is a fine-tuned version of [openlm-research/open_llama_3b](https://huggingface.co/openlm-research/open_llama_3b) on the Paladiso/dataset_b98c9df0-5280-40e9-9125-37aafc6279e9 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9400
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.9502 | 0.0030 | 3 | 1.0558 |
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+ | 1.1032 | 0.0060 | 6 | 1.0392 |
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+ | 0.9992 | 0.0090 | 9 | 0.9400 |
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  ### Framework versions