Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: TinyLlama/TinyLlama_v1.1
+library_name: peft
+---
+
+# 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. -->
+
+
+
+- **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]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TinyLlama/TinyLlama_v1.1",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "q_proj",
+    "o_proj",
+    "k_proj",
+    "up_proj",
+    "down_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30f0c9092683a07f8eeb726cac45ffdf46202ec972767572774bf8de485284ee
+size 50503544

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea26cd3f8caf10c016db71888a6027b1190e71878b3dab819add2f397077fe34
+size 101184122

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:082f68e4df6f5351b4120d3effa442f4f0744f5e5515e0ad0cec3dae67ba1632
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4677d15317405bcdd600dfdae9d04715d81517a0dbc7789a073149e371184d8c
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,264 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.0036247643903146295,
+  "eval_steps": 4,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0001449905756125852,
+      "grad_norm": 68.50080871582031,
+      "learning_rate": 1e-05,
+      "loss": 10.076,
+      "step": 1
+    },
+    {
+      "epoch": 0.0001449905756125852,
+      "eval_loss": 9.672462463378906,
+      "eval_runtime": 166.7625,
+      "eval_samples_per_second": 34.828,
+      "eval_steps_per_second": 4.353,
+      "step": 1
+    },
+    {
+      "epoch": 0.0002899811512251704,
+      "grad_norm": 86.92239379882812,
+      "learning_rate": 2e-05,
+      "loss": 10.1925,
+      "step": 2
+    },
+    {
+      "epoch": 0.00043497172683775554,
+      "grad_norm": 57.988224029541016,
+      "learning_rate": 3e-05,
+      "loss": 8.8292,
+      "step": 3
+    },
+    {
+      "epoch": 0.0005799623024503408,
+      "grad_norm": 83.44893646240234,
+      "learning_rate": 4e-05,
+      "loss": 9.1977,
+      "step": 4
+    },
+    {
+      "epoch": 0.0005799623024503408,
+      "eval_loss": 8.433806419372559,
+      "eval_runtime": 166.7306,
+      "eval_samples_per_second": 34.835,
+      "eval_steps_per_second": 4.354,
+      "step": 4
+    },
+    {
+      "epoch": 0.0007249528780629259,
+      "grad_norm": 54.48796081542969,
+      "learning_rate": 5e-05,
+      "loss": 8.61,
+      "step": 5
+    },
+    {
+      "epoch": 0.0008699434536755111,
+      "grad_norm": 84.71044921875,
+      "learning_rate": 6e-05,
+      "loss": 7.9657,
+      "step": 6
+    },
+    {
+      "epoch": 0.0010149340292880964,
+      "grad_norm": 48.630592346191406,
+      "learning_rate": 7e-05,
+      "loss": 6.8239,
+      "step": 7
+    },
+    {
+      "epoch": 0.0011599246049006815,
+      "grad_norm": 26.573875427246094,
+      "learning_rate": 8e-05,
+      "loss": 6.3551,
+      "step": 8
+    },
+    {
+      "epoch": 0.0011599246049006815,
+      "eval_loss": 5.716758728027344,
+      "eval_runtime": 166.7532,
+      "eval_samples_per_second": 34.83,
+      "eval_steps_per_second": 4.354,
+      "step": 8
+    },
+    {
+      "epoch": 0.0013049151805132667,
+      "grad_norm": 23.909320831298828,
+      "learning_rate": 9e-05,
+      "loss": 5.8831,
+      "step": 9
+    },
+    {
+      "epoch": 0.0014499057561258518,
+      "grad_norm": 42.59280014038086,
+      "learning_rate": 0.0001,
+      "loss": 5.3481,
+      "step": 10
+    },
+    {
+      "epoch": 0.001594896331738437,
+      "grad_norm": 33.284767150878906,
+      "learning_rate": 9.890738003669029e-05,
+      "loss": 4.0478,
+      "step": 11
+    },
+    {
+      "epoch": 0.0017398869073510222,
+      "grad_norm": 17.203149795532227,
+      "learning_rate": 9.567727288213005e-05,
+      "loss": 3.4926,
+      "step": 12
+    },
+    {
+      "epoch": 0.0017398869073510222,
+      "eval_loss": 3.4215242862701416,
+      "eval_runtime": 166.8249,
+      "eval_samples_per_second": 34.815,
+      "eval_steps_per_second": 4.352,
+      "step": 12
+    },
+    {
+      "epoch": 0.0018848774829636073,
+      "grad_norm": 18.14301109313965,
+      "learning_rate": 9.045084971874738e-05,
+      "loss": 3.4935,
+      "step": 13
+    },
+    {
+      "epoch": 0.0020298680585761927,
+      "grad_norm": 15.798501014709473,
+      "learning_rate": 8.345653031794292e-05,
+      "loss": 3.483,
+      "step": 14
+    },
+    {
+      "epoch": 0.002174858634188778,
+      "grad_norm": 18.8242130279541,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 3.2867,
+      "step": 15
+    },
+    {
+      "epoch": 0.002319849209801363,
+      "grad_norm": 30.02107048034668,
+      "learning_rate": 6.545084971874738e-05,
+      "loss": 3.4131,
+      "step": 16
+    },
+    {
+      "epoch": 0.002319849209801363,
+      "eval_loss": 2.5611982345581055,
+      "eval_runtime": 166.7524,
+      "eval_samples_per_second": 34.83,
+      "eval_steps_per_second": 4.354,
+      "step": 16
+    },
+    {
+      "epoch": 0.002464839785413948,
+      "grad_norm": 16.698036193847656,
+      "learning_rate": 5.522642316338268e-05,
+      "loss": 3.2017,
+      "step": 17
+    },
+    {
+      "epoch": 0.0026098303610265334,
+      "grad_norm": 13.388322830200195,
+      "learning_rate": 4.477357683661734e-05,
+      "loss": 2.9257,
+      "step": 18
+    },
+    {
+      "epoch": 0.0027548209366391185,
+      "grad_norm": 13.722065925598145,
+      "learning_rate": 3.4549150281252636e-05,
+      "loss": 2.552,
+      "step": 19
+    },
+    {
+      "epoch": 0.0028998115122517037,
+      "grad_norm": 14.578957557678223,
+      "learning_rate": 2.500000000000001e-05,
+      "loss": 3.4215,
+      "step": 20
+    },
+    {
+      "epoch": 0.0028998115122517037,
+      "eval_loss": 2.112037420272827,
+      "eval_runtime": 166.7887,
+      "eval_samples_per_second": 34.823,
+      "eval_steps_per_second": 4.353,
+      "step": 20
+    },
+    {
+      "epoch": 0.003044802087864289,
+      "grad_norm": 16.224952697753906,
+      "learning_rate": 1.6543469682057106e-05,
+      "loss": 1.946,
+      "step": 21
+    },
+    {
+      "epoch": 0.003189792663476874,
+      "grad_norm": 13.316004753112793,
+      "learning_rate": 9.549150281252633e-06,
+      "loss": 1.9954,
+      "step": 22
+    },
+    {
+      "epoch": 0.003334783239089459,
+      "grad_norm": 12.274697303771973,
+      "learning_rate": 4.322727117869951e-06,
+      "loss": 3.0554,
+      "step": 23
+    },
+    {
+      "epoch": 0.0034797738147020443,
+      "grad_norm": 12.169507026672363,
+      "learning_rate": 1.0926199633097157e-06,
+      "loss": 2.2489,
+      "step": 24
+    },
+    {
+      "epoch": 0.0034797738147020443,
+      "eval_loss": 2.007943630218506,
+      "eval_runtime": 169.3301,
+      "eval_samples_per_second": 34.3,
+      "eval_steps_per_second": 4.287,
+      "step": 24
+    },
+    {
+      "epoch": 0.0036247643903146295,
+      "grad_norm": 11.978036880493164,
+      "learning_rate": 0.0,
+      "loss": 2.6409,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 25,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2573421930086400.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a55087d97bfc88d3b91f893d165b2f469e8fa8099ace08d198a6e5c5395c136d
+size 6776