Dans-DiscountModels
/

Dans-TextSplitter

@@ -1,168 +0,0 @@
----
-license: other
-base_model: stabilityai/stablelm-2-1_6b
-tags:
-- generated_from_trainer
-model-index:
-- name: stablelm_1-6b_ContextSplitter
-  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
-<details><summary>See axolotl config</summary>
-axolotl version: `0.4.0`
-```yaml
-base_model: stabilityai/stablelm-2-1_6b
-base_model_config: stabilityai/stablelm-2-1_6b
-model_type: StableLMEpochForCausalLM
-tokenizer_type: AutoTokenizer
-trust_remote_code: true
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-datasets:
-  - path: /run/media/username/Storage/datasets/repo/alpaca/context-aware-splits-english_new.json
-    type: alpaca
-dataset_prepared_path: stablelm_1-6b_ContextSplitter_data
-val_set_size: 0.02
-output_dir: ./stablelm_1-6b_ContextSplitter
-sequence_len: 4096
-sample_packing: true
-pad_to_sequence_len: true
-adapter:
-lora_model_dir:
-lora_r:
-lora_alpha:
-lora_dropout:
-lora_target_linear:
-lora_fan_in_fan_out:
-wandb_project: stablelm_1-6b_ContextSplitter
-wandb_entity:
-wandb_watch:
-wandb_name:
-wandb_log_model:
-gradient_accumulation_steps: 1
-micro_batch_size: 1
-num_epochs: 1
-optimizer: paged_adamw_32bit
-lr_scheduler: cosine
-learning_rate: 0.00001
-train_on_inputs: false
-group_by_length: false
-bf16: true
-fp16: false
-tf32: false
-gradient_checkpointing: true
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-flash_attn_cross_entropy: false
-flash_attn_rms_norm: true
-flash_attn_fuse_qkv: false
-flash_attn_fuse_mlp: true
-warmup_steps: 100
-evals_per_epoch: 30
-eval_table_size:
-saves_per_epoch: 4
-debug:
-deepspeed: #deepspeed_configs/zero2.json # multi-gpu only
-weight_decay: 0.1
-fsdp:
-fsdp_config:
-special_tokens:
-```
-</details><br>
-# stablelm_1-6b_ContextSplitter
-This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0377
-## 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: 1e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 100
-- num_epochs: 1
-### Training results
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.1781        | 0.0   | 1    | 0.2283          |
-| 0.0709        | 0.03  | 248  | 0.0589          |
-| 0.0274        | 0.07  | 496  | 0.0512          |
-| 0.0614        | 0.1   | 744  | 0.0480          |
-| 0.0266        | 0.13  | 992  | 0.0466          |
-| 0.0471        | 0.17  | 1240 | 0.0440          |
-| 0.0425        | 0.2   | 1488 | 0.0435          |
-| 0.1172        | 0.23  | 1736 | 0.0423          |
-| 0.0322        | 0.27  | 1984 | 0.0415          |
-| 0.0529        | 0.3   | 2232 | 0.0413          |
-| 0.0296        | 0.33  | 2480 | 0.0409          |
-| 0.0357        | 0.37  | 2728 | 0.0398          |
-| 0.0242        | 0.4   | 2976 | 0.0394          |
-| 0.0266        | 0.43  | 3224 | 0.0391          |
-| 0.0292        | 0.47  | 3472 | 0.0386          |
-| 0.0261        | 0.5   | 3720 | 0.0386          |
-| 0.0382        | 0.53  | 3968 | 0.0383          |
-| 0.0378        | 0.57  | 4216 | 0.0383          |
-| 0.0345        | 0.6   | 4464 | 0.0379          |
-| 0.0467        | 0.64  | 4712 | 0.0379          |
-| 0.0542        | 0.67  | 4960 | 0.0378          |
-| 0.0317        | 0.7   | 5208 | 0.0378          |
-| 0.0363        | 0.74  | 5456 | 0.0377          |
-| 0.054         | 0.77  | 5704 | 0.0377          |
-| 0.0207        | 0.8   | 5952 | 0.0377          |
-| 0.0302        | 0.84  | 6200 | 0.0377          |
-| 0.0427        | 0.87  | 6448 | 0.0377          |
-| 0.0278        | 0.9   | 6696 | 0.0377          |
-| 0.0648        | 0.94  | 6944 | 0.0377          |
-| 0.0497        | 0.97  | 7192 | 0.0377          |
-### Framework versions
-- Transformers 4.38.0.dev0
-- Pytorch 2.0.1+cu117
-- Datasets 2.15.0
-- Tokenizers 0.15.0