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llm/fw57M-tied/README.md

@@ -1,90 +1,199 @@
 ---
-{}
+library_name: transformers
+tags: []
 ---
-## Experiment Configuration
-```yaml
-callbacks:
-  grad_accum:
-    _target_: src.callbacks.gradient_accumulation.GradientAccumulationScheduler
-    scheduling:
-      0: 4
-  grad_norm:
-    _target_: src.callbacks.grad_norm.GradNorm
-    check_clipping: false
-    group_separator: /
-    histogram_freq: null
-    log_weight_distribution: false
-    norm_type: 2
-    only_total: true
-  lr_monitor:
-    _target_: src.callbacks.lr_monitor.SimpleLearningRateMonitor
-  model_checkpoint:
-    _target_: src.callbacks.model_checkpoint.ModelCheckpoint
-    dirpath: .checkpoints
-    enable_version_counter: false
-    every_n_train_steps: 2000
-    filename: '{step}'
-    save_initial_checkpoint: true
-    save_last: link
-    save_top_k: -1
-    verbose: true
-  speed_monitor:
-    _target_: src.callbacks.speed_monitor.SpeedMonitor
-data:
-  batch_size: 32
-  drop_last: false
-  eval_batch_size: 128
-  multiprocessing_context: null
-  num_workers: 12
-  persistent_workers: false
-  pin_memory: true
-  prefetch_factor: 2
-  shuffle: true
-dataset: finewebedu-20B
-loggers:
-  tensorboard:
-    _target_: src.trainer.TensorBoardLogger
-    name: ''
-    save_dir: ./
-    version: null
-model: fw57M-tied
-optim:
-  lr: 0.0006
-  num_warmup_steps: 2000
-  optim_kwargs:
-    betas:
-    - 0.9
-    - 0.95
-    eps: 1.0e-08
-    fused: true
-  optim_name: adamw
-  scheduler_kwargs:
-    min_lr_ratio: 0.01
-    num_decay_steps: 4000
-    num_stable_steps: 44000
-  scheduler_name: warmup_stable_decay
-  weight_decay: 0.01
-out_parent_folder: model_train
-pwd: /home/zg258/projects/infotokenization
-resume_from_checkpoint: .checkpoints/last.ckpt
-run_folder: .
-save_initial_checkpoint: true
-seed: 42
-tok_name: bytelevel
-torch_compile: true
-train_data_path: /home/zg258/projects/infotokenization/data/finewebedu-20B/bytelevel-subset/train
-trainer:
-  accelerator: gpu
-  deterministic: false
-  devices: 1
-  enable_progress_bar: true
-  fast_dev_run: false
-  gradient_clip_algorithm: norm
-  gradient_clip_val: 1.0
-  limit_val_batches: 500
-  log_every_n_steps: 1
-  max_steps: 50000
-  precision: bf16-true
-  val_check_interval: 2000
-val_data_path: /home/zg258/projects/infotokenization/data/finewebedu-20B/bytelevel-subset/validation
-```
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

llm/fw57M-tied/config.json

@@ -24,7 +24,7 @@
   "rope_theta": 10000.0,
   "tie_word_embeddings": true,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.51.1",
+  "transformers_version": "4.51.3",
   "use_cache": true,
   "vocab_size": 258
 }

llm/fw57M-tied/generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.51.1"
+  "transformers_version": "4.51.3"
 }

llm/fw57M-tied/model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:e1c5989b2eb341dde8e68fbf142f4f53a66c40876344c9e2571331e98edb1bc3
+oid sha256:8d99226ff065f689160c7efdf1eba47d587bf695c00ee58296f53f223a22b32a
 size 113668624

llm/fw57M-tied/special_tokens_map.json

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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|padding|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

llm/fw57M-tied/tokenizer.json

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+    "trim_offsets": true,
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llm/fw57M-tied/tokenizer_config.json

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+  "pad_token": "<|padding|>",
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+}