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End of training

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  1. README.md +14 -17
README.md CHANGED
@@ -1,13 +1,13 @@
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  ---
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  library_name: peft
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- base_model: samoline/c374ea20-5026-48ff-abab-3892b0b88cff
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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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- - Aivesa/dataset_551340a2-0886-4fde-9e57-97a233c286c6
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  model-index:
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- - name: 443d5c77-12d0-4c91-b616-79db130ff2f3
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  results: []
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  ---
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@@ -20,16 +20,15 @@ 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: samoline/c374ea20-5026-48ff-abab-3892b0b88cff
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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: Aivesa/dataset_551340a2-0886-4fde-9e57-97a233c286c6
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  type:
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- field_input: input
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  field_instruction: instruction
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  field_output: output
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  system_format: '{system}'
@@ -47,7 +46,7 @@ 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: Aivesa/443d5c77-12d0-4c91-b616-79db130ff2f3
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -78,8 +77,6 @@ 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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- special_tokens:
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- pad_token: <|endoftext|>
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
@@ -89,10 +86,10 @@ 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: 551340a2-0886-4fde-9e57-97a233c286c6
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 551340a2-0886-4fde-9e57-97a233c286c6
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -101,11 +98,11 @@ xformers_attention: null
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  </details><br>
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- # 443d5c77-12d0-4c91-b616-79db130ff2f3
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- This model is a fine-tuned version of [samoline/c374ea20-5026-48ff-abab-3892b0b88cff](https://huggingface.co/samoline/c374ea20-5026-48ff-abab-3892b0b88cff) on the Aivesa/dataset_551340a2-0886-4fde-9e57-97a233c286c6 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1321
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  ## Model description
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@@ -139,9 +136,9 @@ 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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- | 1.1408 | 0.0006 | 3 | 1.1933 |
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- | 1.0982 | 0.0012 | 6 | 1.1558 |
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- | 0.9538 | 0.0018 | 9 | 1.1321 |
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  ### Framework versions
 
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  ---
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  library_name: peft
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+ base_model: katuni4ka/tiny-random-qwen1.5-moe
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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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+ - Aivesa/dataset_5e3967ba-d17c-4d93-91ec-a23620abb5dc
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  model-index:
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+ - name: f3fb782d-07a6-4d79-b96c-d3f4215f48c7
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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: katuni4ka/tiny-random-qwen1.5-moe
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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: Aivesa/dataset_5e3967ba-d17c-4d93-91ec-a23620abb5dc
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  type:
 
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  field_instruction: instruction
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  field_output: output
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  system_format: '{system}'
 
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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: Aivesa/f3fb782d-07a6-4d79-b96c-d3f4215f48c7
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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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  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: 5e3967ba-d17c-4d93-91ec-a23620abb5dc
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: 5e3967ba-d17c-4d93-91ec-a23620abb5dc
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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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+ # f3fb782d-07a6-4d79-b96c-d3f4215f48c7
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+ This model is a fine-tuned version of [katuni4ka/tiny-random-qwen1.5-moe](https://huggingface.co/katuni4ka/tiny-random-qwen1.5-moe) on the Aivesa/dataset_5e3967ba-d17c-4d93-91ec-a23620abb5dc dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 11.9368
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 11.9333 | 0.0002 | 3 | 11.9376 |
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+ | 11.9358 | 0.0004 | 6 | 11.9373 |
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+ | 11.9336 | 0.0007 | 9 | 11.9368 |
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  ### Framework versions